Brevets (ancienne version)

Google

Applicant: Google
Auteurs: N/A
Titre: Mood-based messaging
Patent Number: US2012280951
Publication Date: 2012
uri: https://patents.google.com/patent/US20120280951
Description: A method for social interacting, including using a portable messaging device for designating, from time to time, a plurality of friends, selecting a mood, sending one or more representations of the selected mood to each of the plurality of designated friends, further selecting an updated mood, and further sending one or more representations of the updated mood to each of the plurality of designated friends, to supersede the previously sent one or more representations of the mood. A user interface is also described and claimed.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Text; Media Content
Concepts clés: Mood
Méthode: The portable messaging device enables a user to select a mood descriptor such as “happy”, “sad”, “tired” and “surprised”, and a strength associated therewith, indicating how happy, how sad, how tired, or how surprised the user is
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Providing help information based on emotion detection
Patent Number: WO2014159612
Publication Date: 2014
uri: https://patents.google.com/patent/WO2014159612
Description: A device may detect a negative emotion of a user and identify, based on detecting the negative emotion of the user, a task being performed by the user in relation to an item. The device may obtain, based on identifying the task, information to aid the user in performing the identified task in relation to the item. The information may include at least one of information, obtained from a memory associated with the device, in a help document, a user manual, or an instruction manual relating to performing the task in relation to the item; information, obtained from a network, identifying a document relating to performing the task in relation to the item; or information identifying a video relating to performing the task in relation to the item. The device may provide the obtained information to the user.
keywords: Emotion
Domaine de recherche: Computer Vision; Human-Computer Interaction & User Experience; Sentiment Analysis; Speech Processing
Données collectées (type source): Audio; Image; Video
Concepts clés: Negative emotion
Méthode: User device may monitor the user visually and/or audibly and may detect a negative emotion of the user based on monitoring the user's facial expression, the user's body language, and audible signals from the user
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Automatic sequencing of video playlists based on mood classification of each video and video cluster transitions
Patent Number: US9165255
Publication Date: 2015
uri: https://patents.google.com/patent/US9165255
Description: A given set of videos are sequenced in an aesthetically pleasing manner using models learned from human curated playlists. Semantic features associated with each video in the curated playlists are identified and a first order Markov chain model is learned from curated playlists. In one method, a directed graph using the Markov model is induced, wherein sequencing is obtained by finding the shortest path through the directed graph. In another method a sampling based approach is implemented to produce paths on the digraph. Multiple samples are generated and the best scoring sample is returned as the output. In a third method, a relevance based random walk sampling algorithm is modified to produce a reordering of the playlist.
keywords: Mood
Domaine de recherche: Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Audio; Video
Concepts clés: Musical Mood
Méthode: Mood descriptors are extracted from adjectives associated with curated and uncurated playlists in a video repository. A classifier is trained from these mood descriptors to generate dimensional mood features for each video in the curated playlists.
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Geometric and acoustic joint learning
Patent Number: US8977374
Publication Date: 2015
uri: https://patents.google.com/patent/US8977374
Description: Described herein are methods and system for analyzing music audio. An example method includes obtaining a music audio track, calculating acoustic features of the music audio track, calculating geometric features of the music audio track in view of the acoustic features, and determining a mood of the music audio track in view of the geometric features.
keywords: Mood
Domaine de recherche: Sentiment Analysis; Software Development
Données collectées (type source): Audio
Concepts clés: Musical mood
Méthode: Using geometric and acoustic joint learning to calculate acoustic features of the music audio track. Using machine learning techniques along with the joint acoustic-geometric feature vector to classify a mood
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Capturing media content in accordance with a viewer expression
Patent Number: WO2015061476
Publication Date: 2015
uri: https://patents.google.com/patent/WO2015061476
Description: Systems and methods for capturing the emotion of a user when viewing particular media content. The method implemented on a computer system having one or more processors and memory includes detecting display of a media content item, e.g. a video clip, an audio clip, a photo or text message. While the media content item is being displayed, the viewer expression e.g. emotion is detected corresponding to a predefined viewer expression i.e. by using a database to compare the expressions with each other; as well as the identifying a portion of the media content item (e.g. the scene of the video clip) that corresponds with the viewer's expression i.e. emotion. The viewer expression or emotion is based on one of: a facial expression, a body movement, a voice, or an arm, leg or finger gesture and is presumed to be a viewer reaction to the portion of the media content item.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Audio; Video
Concepts clés: Viewer expressions
Méthode: Expression is based on one of: facial expressions, body movements, a voice, or arm, leg, or finger gestures, and is compared with predefined viewer expressions using a database. A portion of the media content item that corresponds to the viewer's expression is also identified
Dispositif: Connected television and Google television device equiped with a camera
Objectifs du brevet: Determine/Identify User Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Providing user-defined parameters to an activity assistant
Patent Number: US9348480
Publication Date: 2016
uri: https://patents.google.com/patent/US9348480
Description: Disclosed herein is an “activity assistant” and an “activity assistant user interface” that provides users with dynamically-selected “activities” that are intelligently tailored to the user's world. For example, a graphical UI includes selectable context elements, each of which corresponds to a user-attribute whose value provides a signal to the activity assistant. In response to selecting a parameter associated with at least one of the selectable context elements, a first signal is generated and provided to the activity assistant. In response to providing the signal, one or more activities are populated and ordered based, at least in part, on the signal, and subsequently displayed. The parameters may include a current mood of a user, a current location of the user, associations with other users, and a time during which the user desires to carry out the activity in some examples.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Software Development
Données collectées (type source): Text
Concepts clés: Mood
Méthode: The context panel provides an interactive mechanism for users to provide context signal data that describes a “user context”, including their mood (e.g., “up for anything”, “lazy”, “productive”, “social”, etc.)
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Identifying and rendering content relevant to a user's current mental state and context
Patent Number: US9712587
Publication Date: 2017
uri: https://patents.google.com/patent/US9712587
Description: Systems and methods are provided for identifying and rendering content relevant to a user’s current mental state and context. In an aspect, a system includes a state component that determines a state of a user during a current session of the user with the media system based on navigation of the media system by the user during the current session, media items provided by the media system that are played for watching by the user during the current session, and a manner via which the user interacts with or reacts to the played media items. In an aspect, the state of the user includes a mood of the user. A selection component then selects a media item provided by the media provider based on the state of the user, and a rendering component effectuates rendering of the media item to the user during the current session.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Media Content
Concepts clés: Mood
Méthode: Infer the type of “mood” the user is in based on his or her actions (user's navigation of a media provider, content accessed and viewed, manner in which the user interacts with the content)
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Systems and Methods for Associating Media Content with Viewer Expressions
Patent Number: US2017078743
Publication Date: 2017
uri: https://patents.google.com/patent/US20170078743
Description: Systems and methods for capturing media content in accordance with viewer expression are disclosed. In some implementations, a method is performed at a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors. The method includes: (1) while a media content item is being presented to a user, capturing a momentary reaction of the user; (2) comparing the captured user reaction with one or more previously captured reactions of the user; (3) identifying the user reaction as one of a plurality of reaction types based on the comparison; (4) identifying the portion of the media content item corresponding to the momentary reaction; and (5) storing an association between the identified user reaction and the portion of the media content item.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Audio; Video
Concepts clés: Viewer expressions
Méthode: Expression is based on one of: facial expressions, body movements, a voice, or arm, leg, or finger gestures, and is compared with predefined viewer expressions using a database. A portion of the media content item that corresponds to the viewer's expression is also identified
Dispositif: Connected television and Google television device equiped with a camera
Objectifs du brevet: Determine/Identify User Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: System for and method of accessing and selecting emoticons, content, and mood messages during chat sessions
Patent Number: US2018059885
Publication Date: 2018
uri: https://patents.google.com/patent/US20180059885
Description: Emoticons or other images are inserted into text messages during chat sessions without leaving the chat session by entering an input sequence onto an input area of a touchscreen on an electronic device, thereby causing an emoticon library to be presented to a user. The user selects an emoticon, and the emoticon library either closes automatically or closes after the user enters a closing input sequence. The opening and closing input sequences are, for example, any combination of swipes and taps along or on the input area. Users are also able to add content to chat sessions and generate mood messages to chat sessions.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Social Media and User Engagement
Données collectées (type source): Text; Media Content
Concepts clés: Mood messages
Méthode: The user selects an emoticon from the emoticon library presented to the user during chat sessions. Mood messages can also visually enhance text messages
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Emotion expression in virtual environment
Patent Number: WO2018102007
Publication Date: 2018
uri: https://patents.google.com/patent/WO2018102007
Description: Meetings held in virtual environments can allow participants to conveniently express emotions to a meeting organizer and/or other participants. The avatar representing a meeting participant can be enhanced to include an expression symbol selected by that participant. The participant can choose among a set of expression symbols offered for the meeting.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Software Development
Données collectées (type source): Media Content
Concepts clés: Emotional expression
Méthode: Based on the participant choice among a set of expression symbols
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Selecting soundtracks
Patent Number: US10489450
Publication Date: 2019
uri: https://patents.google.com/patent/US10489450
Description: Implementations generally relate to selecting soundtracks. In some implementations, a method includes determining one or more sound mood attributes of one or more soundtracks, where the one or more sound mood attributes are based on one or more sound characteristics. The method further includees determining one or more visual mood attributes of one or more visual media items, where the one or more visual mood attributes are based on one or more visual characteristics. The method further includes selecting one or more of the soundtracks based on the one or more sound mood attributes and the one or more visual mood attributes. The method further includes generating an association among the one or more selected soundtracks and the one or more visual media items, wherein the association enables the one or more selected soundtracks to be played while the Pone or more visual media items are displayed.
keywords: Mood
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Audio; Image; Video
Concepts clés: Sound and visual mood
Méthode: Using learning algorithm and recognition algorithm, sound mood attributes are based on sound mood characteristics (music key, tempo, volume, rhythm, lyrics) while visual mood attributes are based on visual characheristics (content aspects such as faces and facial objects, and image aspects), that are associated with particular moods or states
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion; Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources
Patent Number: US2019197073
Publication Date: 2019
uri: https://patents.google.com/patent/US20190197073
Description: Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources are provided. In some implementations, the method comprises: obtaining information associated with an objective of a user of a computing device from multiple data sources; determining that a portion of information from each of the data sources is relevant to the user having the objective, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device; assigning the user of the computing device into a group of users based at least in part on the objective and the portion of information from each of the data sources; determining a target profile associated with the user based at least in part on the objective and the assigned group; generating a current profile for the user of the computing device based on the portion of information from each of the data sources; comparing the current profile with the target profile to determine a recommended action, wherein the recommended action is determined to have a likelihood of impacting the physical or emotional state of the user; determining one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities; and causing the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Text; Audio; Image; Video; Media Content
Concepts clés: Emotional state
Méthode: Emotional state of the user can be predicted using information from various data sources (e.g., contextual data, social data, general data, etc.) including, among other things, content and information published by the user on a social networking service, biometric and location data, mobile device data, and any other suitable data
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Dynamic text-to-speech provision
Patent Number: CN109891497
Publication Date: 2019
uri: https://patents.google.com/patent/CN109891497
Description: A dynamic text-to-speech (TTS) process and system are described. In response to receiving a command to provide information to a user, a device retrieves information and determines user and environment attributes including: (i) a distance between the device and the user when the user uttered the query; and (ii) voice features of the user. Based on the user and environment attributes, the device determines a likely mood of the user, and a likely environment in which the user and user device are located in. An audio output template matching the likely mood and voice features of the user is selected. The audio output template is also compatible with the environment in which the user and device are located. The retrieved information is converted into an audio signal using the selected audio output template and output by the device.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Audio
Concepts clés: Mood
Méthode: A mood classifier may predict the likely mood of the user based on the pitch, tone, amplitude, and frequency data of the audio signal
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Automated nursing assessment
Patent Number: US10376195
Publication Date: 2019
uri: https://patents.google.com/patent/US10376195
Description: This document describes automated nursing assessments. Automation of the nursing assessment involves a nursing-assessment device that makes determinations of a person’s mood, physical state, psychosocial state, and neurological state. To determine a mood and physical state of a person, video of the person is captured while the person is positioned in front of an everyday object, such as a mirror. The captured video is then processed according to human condition recognition techniques, which produces indications of the person’s mood and physical state, such as whether the person is happy, sad, healthy, sick, vital signs, and so on. In addition to mood and physical state, the person’s psychosocial and neurological state are also determined. To do so, questions are asked of the person. These questions are determined from a plurality of psychosocial and neurological state assessment questions, which include queries regarding how the person feels, what the person has been doing, and so on. The determined questions are asked through audible or visual interfaces of the nursing-assessment device. The person’s responses are then analyzed. The analysis involves processing the received answers according to psychosocial and neurological state assessment techniques to produce indications of the person’s psychosocial and neurological state.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Computer Vision; Sentiment Analysis; Software Development
Données collectées (type source): Audio; Image; Video
Concepts clés: Mood
Méthode: Mood is determined using a video of the person captured while she is positioned in front of an everyday object, such as a mirror. The captured video is then processed according to human condition recognition techniques
Dispositif: Everyday object, such as a mirror, configured as a nursing-assessment device to include a camera, speakers, microphone, and computing resources.
Objectifs du brevet: Determine/Identify User Emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Graphical image retrieval based on emotional state of a user of a computing device
Patent Number: US2019228031
Publication Date: 2019
uri: https://patents.google.com/patent/US20190228031
Description: A computing device is described that includes a camera configured to capture an image of a user of the computing device, a memory configured to store the image of the user, at least one processor, and at least one module. The at least one module is operable by the at least one processor to obtain, from the memory, an indication of the image of the user of the computing device, determine, based on the image, a first emotion classification tag, and identify, based on the first emotion classification tag, at least one graphical image from a database of pre-classified images that has an emotional classification that is associated with the first emotion classification tag. The at least one module is further operable by the at least one processor to output, for display, the at least one graphical image.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development
Données collectées (type source): Image; Video
Concepts clés: Emotion
Méthode: Based on an image of the user, for example his or her face, the computing device may analyze facial features and other characteristics to determine one or more emotion classification tags
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Determine/Identify Content Emotion; Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Summary generation for live summaries with user and device customization
Patent Number: WO2023220201
Publication Date: 2023
uri: https://patents.google.com/patent/WO2023220201
Description: Described techniques may be utilized to receive a transcription stream including transcribed text that has been transcribed from speech, and to receive a summary request for a summary to be provided on a display of a device. Extracted text may be identified from the transcribed text and in response to the summary request. The extracted text may be processed using a summarization machine learning (ML) model to obtain a summary of the extracted text, and the summary may be displayed on the display of the device. When an image is captured, an augmented summary may be generated that includes the image together with a visual indication of one or more of an emotion, an entity, or an intent associated with the image, the summary, or the extracted text.
keywords: Emotion
Domaine de recherche: Human-Computer Interaction & User Experience; Natural Language Processing; Sentiment Analysis; Speech Processing
Données collectées (type source): Text; Audio; Image
Concepts clés: Emotion
Méthode: Using audio or text from the transcription generator and associate one or more pre-defined set of emotions with corresponding text portions (e.g., corresponding words, phrases, sentences, or paragraphs)
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Predictive lighting from device screens based on user profiles
Patent Number: CN113950181
Publication Date: 2022
uri: https://patents.google.com/patent/CN113950181
Description: The present invention relates to anticipatory lighting from device screens based on user profiles. Systems, methods, and computer readable storage mediums are provided for determining the mood of a user, deriving an appropriate lighting scheme, and then implementing the lighting scheme on all devices within a predetermined proximity to the user. Furthermore, when the user begins a task, the devices can track the user and use the lighting from the nearby screens to offer functional lighting.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Media Content
Concepts clés: Emotional state
Méthode: Determination of what the user is likely to be doing next and the general mood of the user is based at least in part on information determined from the user's devices and/or sensors (web activity history, user's device interactions, environmental data such as location, time of day, weather and movement sensor data)
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Methods for Emotion Classification in Text
Patent Number: US2022292261
Publication Date: 2022
uri: https://patents.google.com/patent/US20220292261
Description: The technology relates to methods for detecting and classifying emotions in textual communication and using this information to suggest graphical indicia such as emoji, stickers or GIFs to a user. Two main types of models are fully supervised models and few-shot models. In addition to fully supervised and few-shot models, other types of models focusing on the back-end (server) side or client (on-device) side may also be employed. Server-side models are larger-scale models that can enable higher degrees of accuracy, such as for use cases where models can be hosted on cloud servers where computational and storage resources are relatively abundant. On-device models are smaller-scale models, which enable use on resource-constrained devices such as mobile phones, smart watches or other wearables (e.g., head mounted displays), in-home devices, embedded devices, etc.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Natural Language Processing; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Text
Concepts clés: Emotion
Méthode: Supervised models and few-shot models. Using machine-learned models to detect/classify direct versus induced emotion, notably based on text and emoticons
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information; Promote the expression of user's emotion

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Methods, systems, and media for ambient background noise modification based on mood and/or behavior information
Patent Number: US2023092307
Publication Date: 2023
uri: https://patents.google.com/patent/US20230092307
Description: Methods, systems, and media for ambient background noise modification are provided. In some implementations, the method comprises: identifying at least one noise present in an environment of a user having a user device, an activity the user includes currently engaged in, and a physical or emotional state of the user; determining a target ambient noise to be produced in the environment based at least in part on the identified noise, the activity the user is currently engaged in, and the physical or emotional state of the user; identifying at least one device associated with the user device to be used to produce the target ambient noise; determining sound outputs corresponding to each of the one or more identified devices, wherein a combination of the sound outputs produces an approximation of one or more characteristics of the target ambient noise; and causing the one or more identified devices to produce the determined sound outputs.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Text; Audio; Image; Video; Media Content
Concepts clés: Emotional state
Méthode: Emotional state of the user can be predicted using information from various data sources (e.g., contextual data, social data, general data, etc.) including, among other things, content and information published by the user on a social networking service, biometric and location data, mobile device data, and any other suitable data
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: Summary generation for live summaries with user and device customization
Patent Number: WO2023220201
Publication Date: 2023
uri: https://patents.google.com/patent/WO2023220201
Description: Described techniques may be utilized to receive a transcription stream including transcribed text that has been transcribed from speech, and to receive a summary request for a summary to be provided on a display of a device. Extracted text may be identified from the transcribed text and in response to the summary request. The extracted text may be processed using a summarization machine learning (ML) model to obtain a summary of the extracted text, and the summary may be displayed on the display of the device. When an image is captured, an augmented summary may be generated that includes the image together with a visual indication of one or more of an emotion, an entity, or an intent associated with the image, the summary, or the extracted text.
keywords: Emotion
Domaine de recherche: Human-Computer Interaction & User Experience; Natural Language Processing; Sentiment Analysis; Speech Processing
Données collectées (type source): Text; Audio; Image
Concepts clés: Emotion
Méthode: Using audio or text from the transcription generator and associate one or more pre-defined set of emotions with corresponding text portions (e.g., corresponding words, phrases, sentences, or paragraphs)
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: User-guided adaptive playlisting using joint audio-text embeddings
Patent Number: WO2024043931
Publication Date: 2024
uri: https://patents.google.com/patent/WO2024043931
Description: A method includes providing, by an audio playback interface, an initial playlist comprising audio tracks. The method includes receiving a user preference associated with an initial audio track during a listening session, wherein the user preference is indicative of a listening mood of a user and comprises one or more of a user behavior or a natural language input. The method includes generating a representation of the user preference in a joint audio- text embedding space by applying a two-tower model comprising an audio embedding network and a text embedding network. A proximity of two embeddings is indicative of semantic similarity. The method includes training a machine learning model to generate an updated playlist responsive to the listening mood of the user during the listening session. The method includes applying the machine learning model to generate the updated playlist. The method includes substituting the initial playlist with the updated playlist.
keywords: Mood
Domaine de recherche: Human-Computer Interaction & User Experience; Natural Language Processing; Sentiment Analysis; Software Development
Données collectées (type source): Text; Audio; Media Content
Concepts clés: Listening mood
Méthode: The mood of the user may be inferred by analyzing listen/skip behavior and/or based on user-provided natural-language inputs describing their current interests
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: Google

Applicant: Google
Auteurs: N/A
Titre: System(s) and method(s) for causing contextually relevant emoji(s) to be visually rendered for presentation to user(s) in smart dictation
Patent Number: US2024078374
Publication Date: 2024
uri: https://patents.google.com/patent/US20240078374
Description: Implementations described herein relate to causing emoji(s) that are associated with a given emotion class expressed by a spoken utterance to be visually rendered for presentation to a user at a display of a client device of the user. Processor(s) of the client device may receive audio data that captures the spoken utterance, process the audio data to generate textual data that is predicted to correspond to the spoken utterance, and cause a transcription of the textual data to be visually rendered for presentation to the user via the display. Further, the processor(s) may determine, based on processing the textual data, whether the spoken utterance expresses a given emotion class. In response to determining that the spoken utterance expresses the given emotion class, the processor(s) may cause emoji(s) that are stored in association with the given emotion class to be visually rendered for presentation to the user via the display.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Natural Language Processing; Sentiment Analysis; Speech Processing
Données collectées (type source): Text; Audio
Concepts clés: Emotion class
Méthode: Based on textual data generated from audio data that captures the spoken utterance, the processor may determine a given emotion class from among a plurality of disparate emotion classes
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information

Collections: Google

X

Applicant: X
Auteurs: N/A
Titre: System and method for evaluating sentiment
Patent Number: US2015331563
Publication Date: 2015
uri: https://patents.google.com/patent/US20150331563
Description: An example system and method elicits reviews and opinions from users via an online system or a web crawl. Opinions on topics are processed in real time to determine orientation. Each topic is analyzed sentence by sentence to find a central tendency of user orientation toward a given topic. Automatic topic orientation is used to provide a common comparable rating value between reviewers and potentially other systems on similar topics. Facets of the topics are extracted via a submission/acquisition process to determine the key variables of interest for users.
keywords: Sentiment Analysis
Domaine de recherche: Natural Language Processing; Sentiment Analysis
Données collectées (type source): Text
Concepts clés: Sentiment
Méthode: Opinions are processed by analyzing topics, potentially with multiple granularities of detection, e.g., word-by-word, phrase-by-phrase, sentence by sentence, using parts of speech and other natural language taggers or analyzers, to find a central tendency of user orientation
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion

Collections: X

Applicant: X
Auteurs: N/A
Titre: Augmentation of Communications with Emotional Data
Patent Number: US2018077095
Publication Date: 2018
uri: https://patents.google.com/patent/US20180077095
Description: A sender device may receive input data including to at least one of text or speech input data during a given period of time. In response, the sender device may use one or more of the emotion detection modules to analyze input data received during the same period of time to detect emotional information in the input data, which corresponds to the textual or speech input received during the given period of time. The sender device may generate a message data stream that includes both: text generated from the textual or speech input during the given period of time, and emotion data providing emotional information the same period of time. A recipient device may then use one or more emotion augmentation modules to process such a message data stream and output an emotionally augmented communication.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Computer Vision; Human-Computer Interaction & User Experience; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Text; Audio; Image; Video
Concepts clés: Emotion
Méthode: Emotion detection could use image data or biometric data, including facial recognition, automaticaly obtained from input devices
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Promote the expression of user's emotion

Collections: X

Applicant: X
Auteurs: N/A
Titre: Emoji prediction and visual sentiment analysis
Patent Number: US20200073485
Publication Date: 2020
uri: https://patents.google.com/patent/US20200073485
Description: Systems and methods for emoji prediction and visual sentiment analysis are provided. An example system includes a computer-implemented method. The method may be used to predict emoji or analyze sentiment for an input image. An example method includes the step of receiving an image. The example method further includes the steps of generating an emoji embedding for the image and generating a sentiment label for the image using the emoji embedding. The emoji embedding may be generated using a machine learning model.
keywords: https://patents.google.com/patent/US20200073485A1/
Domaine de recherche: Computer-Mediated Communication; Computer Vision; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Text; Image; Media Content
Concepts clés: Sentiment
Méthode: Emoticone embedding may be generated for the image using a machine learning model, then a sentiment label is generated using the emoticone embedding
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion

Collections: X

Applicant: X
Auteurs: N/A
Titre: Systems and methods for swipe-to-like
Patent Number: US11010050
Publication Date: 2021
uri: https://patents.google.com/patent/US11010050
Description: Example systems and methods are described for implementing a swipe-to-like feature. In an example implementation, a list of content items is displayed on a touchscreen display, and based on detecting input of a first gesture, such as, for example, a swipe gesture, for a first one of the content items in the list, associating a predetermined first sentiment with the first content item.
keywords: Sentiment Analysis
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Text; Media Content
Concepts clés: Sentiment
Méthode: Based on the touch input or any indicia, including emoticons, a sentiment indicia is associated with the content and displayed
Dispositif: Device (Touchscreen)
Objectifs du brevet: Determine/Identify User Emotion; Promote the expression of user's emotion

Collections: X

Applicant: X
Auteurs: N/A
Titre: Labeling messages on a social messaging platform using message response information
Patent Number: WO2022256584
Publication Date: 2022
uri: https://patents.google.com/patent/WO2022256584
Description: A social messaging platform includes a labeling module to label a base message according to an aggregate message response parameter, which represents the sentiment of users towards the content of the base message. The labels provide information that can be used to distinguish more nuanced sentiments and the degree of the sentiment users may have towards the base message. The aggregate message response parameter and corresponding labels are determined, in part, by identifying and evaluating icons (e.g., emojis, emoticons) present in one or more response messages posted in response to a base message. The labels, in turn, can be used in a variety of applications including recommending new content to users based on their mood, identifying messages potentially containing toxic content for review, or providing a way for businesses to evaluate public sentiment towards an advertisement and facilitate targeted advertisements to users.
keywords: Sentiment Analysis
Domaine de recherche: Computer-Mediated Communication; Natural Language Processing; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Text; Audio; Image; Video; Media Content
Concepts clés: Sentiment
Méthode: The sentiment can be evaluated by identifying icons present in the response messages, for example emojis and emoticons, or by mapping textual content to one or more icons using a natural language processing model
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: X

TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Video file processing method, system, medium and electronic equipment
Patent Number: CN110267113
Publication Date: 2019
uri: https://patents.google.com/patent/CN110267113
Description: The invention provides a video file processing method and system, a medium and electronic equipment. The method comprises the steps of obtaining voice comment information input by a user for a current video file, wherein the voice comment information comprises voice content, voice duration and comment mood; identifying the content of the current video file, and generating a plurality of video scenes; determining the video scene matched with the voice comment information; and when the video file is played to the video scene, outputting the voice content. According to the method, the interactive interestingness of the reviewer can be improved; and user viscosity can be further increased.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Speech Processing
Données collectées (type source): Audio; Video
Concepts clés: Mood
Méthode: The voice comment mood is based on the attitude of the user speaking, such as exclamation, question, anger and the like. Informations of the current video file are also obtained, notably the video expression emotions which include questions, exclamations, anger, laughter, and the like
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information; Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Image emotional semantic analysis method, device and electronic equipment
Patent Number: CN110378406
Publication Date: 2019
uri: https://patents.google.com/patent/CN110378406
Description: The embodiment of the invention provides an image sentiment analysis method and device and electronic equipment, and belongs to the technical field of image processing, and the method comprises the steps: inputting an image into a first network, so as to determine the theme of the image; determining an image theme emotion attribute of the image theme; and inputting the image of which the image theme emotion attribute is determined into a second network to quantify the image theme emotion attribute, with the second network comprising sub-networks corresponding to each theme, and the image of the corresponding theme being input into the sub-network of the corresponding theme. Through the processing scheme of the invention, the emotion of the image theme can be obtained, and the emotion can be quantified.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development
Données collectées (type source): Image
Concepts clés: Emotion
Méthode: After the subject of the input image is determined by a network model, the image subject emotional attribute of the image is determined. It may be accomplished, for example, by associating particular image themes with particular image theme emotion attributes ; by a separate module using a lookup table of image themes and emotional attributes ; or manually. For each topic, a separate second network is used to quantize the image emotional attribute
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: A kind of processing method of interaction data, device, equipment and storage medium
Patent Number: CN109656464
Publication Date: 2019
uri: https://patents.google.com/patent/CN109656464
Description: The embodiment of the invention discloses an interactive data processing method and device, equipment and a storage medium, and the method comprises the steps: recording the touch time of a touch event when the touch event for a preset type of control is detected on a live display interface; If the touch time exceeds a set time threshold, determining that the touch event is a long-press operation; When the touch event is a long-press operation, generating animation paths at set time intervals; Wherein every two generated adjacent animation paths are different; And playing an animation according to each animation path. According to the technical scheme provided by the embodiment of the invention, the interest of the live broadcast room can be improved, and user emotion expression can be promoted.
keywords: Emotion
Domaine de recherche: Haptic; Human-Computer Interaction & User Experience
Données collectées (type source): Media Content
Concepts clés: Emotion
Méthode: While long-press operation is identified with touch time, animations are generated
Dispositif: Smartphone, tablet
Objectifs du brevet: Determine/Identify User Emotion; Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: The method and apparatus of personage's emotion for identification
Patent Number: CN110175565
Publication Date: 2019
uri: https://patents.google.com/patent/CN110175565
Description: The embodiment of the invention discloses a method and device for identifying character emotion. A specific embodiment of the method comprises the steps of extracting a face image set from a to-be-processed figure video, dividing the face image sert into at least one face image group based on a matching relationship between the face images, the different face image groups corresponding to different persons displayed by the person video, for each face image group in the at least one face image group, performing expression recognition on each face image in the face image group to obtain a corresponding expression recognition result, and determining the emotion information of a person corresponding to the face image group based on the expression recognition result corresponding to each face image in the face image group. According to the embodiment, the character emotion recognition based on facial expressions is realized.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis
Données collectées (type source): Image; Video
Concepts clés: Emotion
Méthode: Emotional information of the character is determined performing expressive recognition on face images extracted from a character video
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Information processing method and device and terminal equipment
Patent Number: CN111970402
Publication Date: 2020
uri: https://patents.google.com/patent/CN111970402
Description: An embodiment of the invention discloses an information processing method and device, and electronic equipment. One specific embodiment of the information processing method comprises the steps of: displaying a mood image list in response to a received preset instruction for indicating addition of mood images, wherein the mood image list comprises at least one mood image; determining a target mood image according to a selection operation of a user on the mood images in the mood image list; and adding the target mood image into a user head portrait. According to the information processing method and the device, the convenience of acquiring the mood of the user by contacts of the user is improved.
keywords: Mood
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement
Données collectées (type source): Image; Media Content
Concepts clés: Mood
Méthode: User can select a mood image in the mood image list
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Video recommendation method and device, electronic equipment and computer-readable storage medium
Patent Number: CN111726691
Publication Date: 2020
uri: https://patents.google.com/patent/CN111726691
Description: The invention provides a video recommendation method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining the sensory information of a user when the user is detected to watch a video; sending the sensory information to a server, receiving related information of the to-be-recommended video returned by the server, and displaying the related information of the to-be-recommended video to the user, wherein the to-be-recommended video is determined based on sensory information. Scheme of the present disclosure, when it is detected that the user watches the video, the sensory information of the user is obtained, the watching state of the user, including the watching feeling of the currently watched video and the to-be-recommended video determined based on the sensory information of the user, can be reflected on the basis of the sensory information, and the watching feeling of the user is considered, so that the recommended video is more accurate and more accordant with the mind of the user.
keywords: Feeling
Domaine de recherche: Computer Vision; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Speech Processing
Données collectées (type source): Image; Audio; Video
Concepts clés: Feeling
Méthode: The viewing experience of the user can be reflected by combining the facial image and the voice information
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Reading interaction method, device, equipment, server and storage medium
Patent Number: CN111443794
Publication Date: 2020
uri: https://patents.google.com/patent/CN111443794
Description: The invention discloses a reading interaction method, device and equipment, a server and a storage medium. The method comprises the following steps: receiving a user face image captured when a user reads; identifying the face image of the user, and determining a state expression of the user; and when the state expression meets a reading interaction condition, determining interaction content corresponding to the state expression and playing the interaction content. By means of the method, emotion change sharing between the user and the virtual reading partner in the reading process is achieved through state expression interaction with the reading user in the reading process, so that the single boring reading process is improved, the reading interestingness of the user is improved, and the reading enthusiasm of the user is improved.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Computer Vision; Human-Computer Interaction & User Experience; Sentiment Analysis
Données collectées (type source): Image; Video
Concepts clés: Emotion
Méthode: The state expression is determined using facial image specifically captured during the reading process of the user, using image recognition algorithm and a preset state expression library
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Method and device for video dubbing
Patent Number: CN111767431
Publication Date: 2020
uri: https://patents.google.com/patent/CN111767431
Description: The embodiment of the invention discloses a method and device for video music matching. A specific embodiment of the method comprises the steps of obtaining a to-be-matched music video; inputting the to-be-matched video into a pre-trained video emotion classification model to obtain at least one piece of emotion classification information corresponding to the to-be-matched video and a probability corresponding to the emotion classification information; acquiring a to-be-recalled music information set corresponding to the to-be-matched music video, wherein each piece of music information in the to-be-recalled music information set corresponds to at least one emotion label; and generating a recalled music information list based on matching of the at least one piece of emotion classification information and probability corresponding to the to-be-matched music video and the emotion tags corresponding to the music information in the to-be-recalled music information set. According to the embodiment, the emotion dimension information of the video and the gameplay is fully utilized, so that the matching degree of the video music matching is effectively improved.
keywords: Emotion
Domaine de recherche: Computer Vision; Sentiment Analysis; Software Development
Données collectées (type source): Image; Audio; Video
Concepts clés: Emotion
Méthode: Using image features extracted from the video, emotion is detected by performing a similarity comparison with preset classification features corresponding to the emotion classification information. The generated similarity may be used as the probability corresponding to the emotion classification information
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion; Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Background music generation method and device, readable medium and electronic equipment
Patent Number: CN111782576
Publication Date: 2020
uri: https://patents.google.com/patent/CN111782576
Description: The invention relates to a background music generation method and device, a readable medium and electronic equipment. The method relates to the technical field of electronic information processing, and comprises the steps of obtaining a target text and a target type of the target text, determining a target chord corresponding to the target type, determining a target emotion label of the target text, and generating background music corresponding to the target text according to the target emotion label and the target chord. The background music suitable for the target text is automatically generated according to the type and emotion label of the target text, manual selection is not needed, the limitation of existing music is avoided, the background music generation efficiency can be improved, the application range of the background music is expanded, and therefore, the connotation and expressive force of the target text are increased through the background music.
keywords: Emotion
Domaine de recherche: Sentiment Analysis; Software Development
Données collectées (type source): Text
Concepts clés: Emotion
Méthode: After the target text is obtained, a target emotion label suitable for the target text is determined according to the number of vocabularies corresponding to each emotion. The target chord and the target emotion label may be used as inputs to a pre-trained music generation model to obtain the background music
Dispositif: Device
Objectifs du brevet: Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Method and device for generating stickers
Patent Number: US2021004574
Publication Date: 2021
uri: https://patents.google.com/patent/US20210004574
Description: A method and a device for generating stickers are provided. An embodiment of the method includes extracting an image sequence from a person-contained video to be processed; identifying emotions of the faces respectively displayed by each of the target images in the image sequence to obtain corresponding identification results; based on the emotional levelscorresponding to the emotion labels in the identification results corresponding to each of the target images, extracting a video fragment from the person-contained video, and acting the video fragment as the stickers. The image sequence comprises target images displaying faces; the identification results comprise emotion labels and emotional levels corresponding to the emotion labels. The embodiment can extract the video fragment from the given person-contained video to act as stickers based on the facial emotion match, which can achieve the generation of stickers based on the facial emotion match.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Computer Vision; Human-Computer Interaction & User Experience; Sentiment Analysis
Données collectées (type source): Image; Video
Concepts clés: Emotion
Méthode: Based on face detection, a target image in the image sequence is determined. Using convolutional neural networks, emotions are identified on the face respectively displayed in each target image, resulting in an emotion label and an emotional level
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Interaction method, interaction device, electronic equipment and storage medium
Patent Number: CN112764612
Publication Date: 2021
uri: https://patents.google.com/patent/CN112764612
Description: The embodiment of the invention provides an interaction method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a first trigger operation acting on a target control corresponding to a target work; and in response to the first trigger operation, displaying a target visual element at a preset display position corresponding to the target work, and controlling the target visual element to move from the preset display position to a first target display position of a target identifier, the target identifier being an identifier of a target publisher of the target work. According to the embodiment of the invention, by adopting the technical scheme, a new interaction mode can be provided for the user, so that the user can express a new emotion through the interaction model, the interestingness of the user during interaction can be improved, and the user interaction frequency and the interaction experience are further improved.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Media Content
Concepts clés: Emotion
Méthode: Based on user input such as a like control, a collection control, or a comment control
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Music sharing method and device, electronic equipment and storage medium
Patent Number: CN113050857
Publication Date: 2021
uri: https://patents.google.com/patent/CN113050857
Description: The embodiment of the invention discloses a music sharing method, system and device, electronic equipment and a storage medium, and the method comprises the following steps: entering a lyric video template display interface related to a target song when an instruction related to the display of a lyric video template is triggered; generating a lyric video according to a video editing operation of a user on the lyric video template display interface; and in response to a video publishing instruction of a user, publishing the lyric video to a target position. According to the technical scheme disclosed by the embodiment of the invention, the problems that in the prior art, the music sharing mode and scene are relatively single, and the requirement that the user shares the music-related, active and rich emotion expression cannot be met are solved, the music expression requirement of the user can be amplified, the user is helped to more actively and richer express the music-related emotion, and a streaming media product can be helped to complete more social media transmission, so that more high-quality new users can be obtained.
keywords: Emotion
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Social Media and User Engagement; Software Development
Données collectées (type source): Text; Image; Video; Media Content
Concepts clés: Emotion
Méthode: User may express his emotions by editing a lyric video template associated with a target song. In addition, the system also comprises controls for praise, comment, forwarding, adding and publishing and the like
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Display control method, device, equipment and storage medium
Patent Number: CN113923499
Publication Date: 2022
uri: https://patents.google.com/patent/CN113923499
Description: The embodiment of the invention discloses a display control method and device, equipment and a storage medium. The method comprises the steps of playing a first video in a first display area in a video stream playing interface of a preset application program, receiving a switching instruction, and switching to play a second video in the first display area under the condition that a preset reminding condition is met, the display area of the second video is changed from the first display area to a second display area in the playing process, the size of the second display area is smaller than that of the first display area, and preset prompt information is displayed outside the second display area in the video stream playing interface. By adopting the technical scheme, the reduction change of the display size is combined with the prompt information, so that the perception of a user on anti-addiction can be enhanced, the reminding effect is enhanced, the problem that the user is easily addicted to watch a video stream is solved. Meanwhile, the abrupt feeling and the blocking feeling caused by directly playing a video in a smaller area are avoided, and the user experience is improved. And the video watching experience of the user is ensured.
keywords: Feeling
Domaine de recherche: Human-Computer Interaction & User Experience; Social Media and User Engagement; Software Development
Données collectées (type source): Media Content
Concepts clés: Feeling
Méthode: By reducing the display area of the switched video and displaying the prompt information in the video stream playing interface, the anti-enthusiasm perception of the user can be enhanced, the abrupt feeling and the blocking feeling are avoided, and the video watching experience of the user is ensured
Dispositif: Device
Objectifs du brevet: N/A

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Video processing method and apparatus, device and medium
Patent Number: EP4145837
Publication Date: 2023
uri: https://patents.google.com/patent/EP4145837
Description: Provided in embodiments of the present disclosure are a video processing method and apparatus, a device, and a medium. The method includes: receiving a play trigger operation for a forwarded video, the forwarded video being forwarded from an original video by a forwarding user; obtaining the original video, and forwarding comment information provided by the forwarding user on the original video when forwarding the original video; and playing the original video on a play interface of video works of the forwarding user, and displaying the forwarding comment information. In the embodiments of the present disclosure, when the forwarding user forwards the original video, the original video can be played when receiving a play station for the forwarded video, and meanwhile, the forwarding comment information provided by the forwarding user on the original video during the forwarding is displayed while playing the original video, instead of only displaying the comment information of the creator as in the related art. Thus, in this case, it is convenient for the user to know the forwarding user's feeling about the forwarded video, thereby improving the user's ense of experience.
keywords: Feeling
Domaine de recherche: Computer-Mediated Communication; Human-Computer Interaction & User Experience; Sentiment Analysis; Social Media and User Engagement; Software Development
Données collectées (type source): Text
Concepts clés: Feeling
Méthode: Based on user input indicating a comment or a user emotion
Dispositif: Device
Objectifs du brevet: Promote the expression of user's emotion

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Sound effect adding method and apparatus, storage medium, and electronic device
Patent Number: US2023259712
Publication Date: 2023
uri: https://patents.google.com/patent/US20230259712
Description: The present invention relates to a sound effect adding method and apparatus, a storage medium, and an electronic device. The method comprises: determining, on the basis of an emotion judgment model, a statement emotion label of each statement of a text to be processed; determining an emotion offset value of said text on the basis of the type of emotion labels which are largest in quantity among the multiple statement emotion labels; for each paragraph of said text, determining an emotion distribution vector of the paragraph according to the statement emotion label of at least one statement corresponding to the paragraph; determining emotion probability distribution of the paragraph on the basis of the emotion offset value and the remotion distribution vector corresponding to the paragraph; determining, according to the emotion probability distribution of the paragraph and sound effect emotion labels of multiple sound effects in a sound effect library, a target sound effect matching the paragraph; and adding the target sound effect to an audio position corresponding to the paragraph in an audio file corresponding to said text. Thus, the effect of automatically selecting and adding sound effects can be implemented, and the efficiency of adding sound effects can be improved.
keywords: Emotion
Domaine de recherche: Natural Language Processing; Sentiment Analysis; Software Development; Speech Processing
Données collectées (type source): Text; Audio
Concepts clés: Emotion
Méthode: Input may be the to-be-processed text or an audio file corresponding to the to-be-processed text that has been voiced. Emotions of the statements are determined by analyzing semantics of words, a voice emotion of a reciter and determining semantics of speech
Dispositif: Device
Objectifs du brevet: Determine/Identify Content Emotion; Personalize/Improve with emotion information

Collections: TikTok

Applicant: TikTok
Auteurs: N/A
Titre: Media collection generation method and apparatus, electronic device, and storage medium
Patent Number: WO2023165368
Publication Date: 2023
uri: https://patents.google.com/patent/WO2023165368
Description: Embodiments of the present disclosure provide a media collection generation method and apparatus, an electronic device, a storage medium, a computer program product, and a computer program. In the media collection generation method, a plurality of emotion identifiers are displayed in a playing interface for a target piece of media, the emotion identifiers being used for representing preset emotion types; and in response to a first interaction operation on a target emotion identifier, adding the target piece of media to a target emotion media collection corresponding to the programmed computer scans. The emotion identifiers that are preconfigured in the playing interface and triggered by means of an interaction operation implement classification of a target piece of media, and consequently generation of corresponding emotion media collections is achieved, causing a generated emotion media collection to achieve media classification on the basis of on the emotion and feeling of a user; the use experience of a personalized media collection for a user is improved, media collection generation steps and logic are simplified, and media collection generation efficiency is improved.
keywords: Emotion
Domaine de recherche: Human-Computer Interaction & User Experience; Sentiment Analysis; Software Development
Données collectées (type source): Audio; Image; Video; Media Content
Concepts clés: Emotion
Méthode: A plurality of emotional marks are displayed in the playback interface of the target media to represent the preset emotion type. Once target media classification is realized, the generation of the corresponding emotional media collection is realized based on the user's emotional feelings
Dispositif: Device
Objectifs du brevet: Determine/Identify User Emotion; Determine/Identify Content Emotion; Personalize/Improve with emotion information

Collections: TikTok

Brevets (ancienne version)

Meta

Chaining Connection Requests

Negative signals for advertisement targeting

Techniques for emotion detection and content delivery

Pre-implant detection

Detecting And Responding To Sentiment-Based Communications About A Business On A Social Networking System

Methods and Systems for Providing User Feedback Using an Emotion Scale

Systems and methods for generating videos based on selecting media content items and moods

Augmenting text messages with emotion information

Sentiment-Modules on Online Social Networks

Profile Suggestions

Real-time delivery of interactions in online social networking system

Camera with reaction integration

Reactive profile portraits

Media effect application

Systems and methods for captioning content

Dynamic mask application

Systems and methods for determining sentiments in conversations in a chat application

Integration of Live Streaming Content with Television Programming

Systems and methods for notification send control using negative sentiment

Sentiment polarity for users of a social networking system

Google

Mood-based messaging

Providing help information based on emotion detection

Automatic sequencing of video playlists based on mood classification of each video and video cluster transitions

Geometric and acoustic joint learning

Capturing media content in accordance with a viewer expression

Providing user-defined parameters to an activity assistant

Identifying and rendering content relevant to a user's current mental state and context

Systems and Methods for Associating Media Content with Viewer Expressions

System for and method of accessing and selecting emoticons, content, and mood messages during chat sessions

Emotion expression in virtual environment

Selecting soundtracks

Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources

Dynamic text-to-speech provision

Automated nursing assessment

Graphical image retrieval based on emotional state of a user of a computing device

Summary generation for live summaries with user and device customization

Predictive lighting from device screens based on user profiles

Methods for Emotion Classification in Text

Methods, systems, and media for ambient background noise modification based on mood and/or behavior information

Summary generation for live summaries with user and device customization

User-guided adaptive playlisting using joint audio-text embeddings

System(s) and method(s) for causing contextually relevant emoji(s) to be visually rendered for presentation to user(s) in smart dictation

X

System and method for evaluating sentiment

Augmentation of Communications with Emotional Data

Emoji prediction and visual sentiment analysis

Systems and methods for swipe-to-like

Labeling messages on a social messaging platform using message response information

TikTok

Video file processing method, system, medium and electronic equipment

Image emotional semantic analysis method, device and electronic equipment

A kind of processing method of interaction data, device, equipment and storage medium

The method and apparatus of personage's emotion for identification

Information processing method and device and terminal equipment

Video recommendation method and device, electronic equipment and computer-readable storage medium

Reading interaction method, device, equipment, server and storage medium

Method and device for video dubbing

Background music generation method and device, readable medium and electronic equipment

Method and device for generating stickers

Interaction method, interaction device, electronic equipment and storage medium

Music sharing method and device, electronic equipment and storage medium

Display control method, device, equipment and storage medium

Video processing method and apparatus, device and medium

Sound effect adding method and apparatus, storage medium, and electronic device

Media collection generation method and apparatus, electronic device, and storage medium