APPARATUS AND METHOD FOR PREDICTING/RECOGNIZING OCCURRENCE OF PERSONAL CONCERNED CONTEXT

    公开(公告)号:US20190371344A1

    公开(公告)日:2019-12-05

    申请号:US16219443

    申请日:2018-12-13

    Abstract: Disclosed is technology for providing a proper UI/UX through various devices or services when occurrence of registered concerned context is predicted or recognized in order to predict or recognize the circumstances that require attention or emotion control with regard to a change in his/her biological information With this, a user designates his/her own biological information range or emotional state with regard to circumstances which catch his/her attention, and registers concerned context by selectively designating attributes of circumstantial elements. Further, a user registers feedback desired to be given and an external device/service desired to interface with when the occurrence of the concerned context is predicted or recognized. According to the attributes of the circumstances designated in the registered concerned context, points in time for collecting and managing UX data are automatically determined, thereby processing and managing the UX data as useful information.

    METHOD AND DEVICE FOR EXTRACTING CONTEXT RELATED TO A PERSON FROM A VIDEO

    公开(公告)号:US20250157257A1

    公开(公告)日:2025-05-15

    申请号:US18945654

    申请日:2024-11-13

    Inventor: Ji Youn LIM

    Abstract: A method and device for obtaining context associated with a character in a video are disclosed. A method for obtaining a context associated with a character in a video, performed by a device according to one embodiment of the present disclosure, may include obtaining appearance time information for at least one character appearing in a specific video; obtaining a context related to at least one character from a video portion corresponding to a time at which the at least one character appeared based on the appearance time information; generating at least one graph representing a context of the at least one character based on the context related to the at least one character; and classifying the at least one character using the at least one graph.

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