Emotion recognition in video conferencing

    公开(公告)号:US10949655B2

    公开(公告)日:2021-03-16

    申请号:US16260813

    申请日:2019-01-29

    Applicant: Snap Inc.

    Abstract: Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.

    SYSTEMS AND METHODS FOR PROVIDING PERSONALIZED VIDEOS FEATURING MULTIPLE PERSONS

    公开(公告)号:US20200236301A1

    公开(公告)日:2020-07-23

    申请号:US16594690

    申请日:2019-10-07

    Applicant: SNAP INC.

    Abstract: Disclosed are systems and methods for providing personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with at least a target face and at least one further target face and receiving an image of a source face and a further image of a further source face. The method further includes modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face. In the at least one frame of the video, the target face is replaced with the image of modified source face and the at least one further face is replaced with the modified further source face to generate a personalized video. The personalized video is sent to at least one further user.

    SYSTEMS AND METHODS FOR GENERATING PERSONALIZED VIDEOS WITH CUSTOMIZED TEXT MESSAGES

    公开(公告)号:US20200234483A1

    公开(公告)日:2020-07-23

    申请号:US16661122

    申请日:2019-10-23

    Applicant: SNAP INC.

    Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method may commence with receiving a video template. The video template may include a sequence of frame images and preset text parameters defining an animation of a text. The method may continue with generating a configuration file based on the text and the preset text parameters. The configuration file may include text parameters defining rendering the text for each of the frame images. The method may further include receiving an input text and rendering an output video comprising the sequence of frame images featuring the input text rendered according to the text parameters. The rendering may be performed based on the configuration file. The method may continue with sending the output video to a further computing device via a communication chat.

    Virtual vision system
    24.
    发明授权

    公开(公告)号:US10565795B2

    公开(公告)日:2020-02-18

    申请号:US15654429

    申请日:2017-07-19

    Applicant: Snap Inc.

    Abstract: A context based augmented reality system can be used to display augmented reality elements over a live video feed on a client device. The augmented reality elements can be selected based on a number of context inputs generated by the client device. The context inputs can include location data of the client device and location data of nearby physical places that have preconfigured augmented elements. The preconfigured augmented elements can be preconfigured to exhibit a design scheme of the corresponding physical place.

    Emotion recognition in video conferencing

    公开(公告)号:US10255488B1

    公开(公告)日:2019-04-09

    申请号:US15829510

    申请日:2017-12-01

    Applicant: SNAP INC.

    Abstract: Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotions

    Emotion recognition in video conferencing

    公开(公告)号:US10235562B2

    公开(公告)日:2019-03-19

    申请号:US15816776

    申请日:2017-11-17

    Applicant: Snap Inc.

    Abstract: Methods and systems for videoconferencing include recognition of emotions related to one videoconference participant such as a customer. This ultimately enables another videoconference participant, such as a service provider or supervisor, to handle angry, annoyed, or distressed customers. One example method includes the steps of receiving a video that includes a sequence of images, detecting at least one object of interest (e.g., a face), locating feature reference points of the at least one object of interest, aligning a virtual face mesh to the at least one object of interest based on the feature reference points, finding over the sequence of images at least one deformation of the virtual face mesh that reflect face mimics, determining that the at least one deformation refers to a facial emotion selected from a plurality of reference facial emotions, and generating a communication bearing data associated with the facial emotion.

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