Object Tracking in Multi-View Video
    11.
    发明申请

    公开(公告)号:US20180349705A1

    公开(公告)日:2018-12-06

    申请号:US15613130

    申请日:2017-06-02

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for managing display of content from multi-view video data. According to these techniques, an object may be identified from content of the multi-view video. The object's location may be tracked across a sequence of multi-view video. The technique may extract a sub-set of video that is contained within a view window that is shifted in an image space of the multi-view video in correspondence to the tracked object's location. These techniques may be implemented either in an image source device or an image sink device.

    Content adaptation for streaming
    14.
    发明授权

    公开(公告)号:US11166027B2

    公开(公告)日:2021-11-02

    申请号:US15614881

    申请日:2017-06-06

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed by which a coding parameter is determined to encode video data resulting in encoded video data possessing a highest possible video quality. Features may be extracted from an input video sequence. The extracted features may be compared to features described in a model of coding parameters generated by a machine learning algorithm from reviews of previously-coded videos, extracted features of the previously-coded videos, and coding parameters of the previously-coded videos. When a match is detected between the extracted features of the input video sequence and extracted features represented in the model, a determination may be made as to whether coding parameters that correspond to the matching extracted feature correspond to a tier of service to which the input video sequence is to be coded. When the coding parameters that correspond to the matching extracted feature correspond to the tier of service to which the input video sequence is to be coded, the input video sequence may be coded according to the coding parameters.

    Content Adaptation for Streaming
    15.
    发明申请

    公开(公告)号:US20170359580A1

    公开(公告)日:2017-12-14

    申请号:US15614881

    申请日:2017-06-06

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed by which a coding parameter is determined to encode video data resulting in encoded video data possessing a highest possible video quality. Features may be extracted from an input video sequence. The extracted features may be compared to features described in a model of coding parameters generated by a machine learning algorithm from reviews of previously-coded videos, extracted features of the previously-coded videos, and coding parameters of the previously-coded videos. When a match is detected between the extracted features of the input video sequence and extracted features represented in the model, a determination may be made as to whether coding parameters that correspond to the matching extracted feature correspond to a tier of service to which the input video sequence is to be coded. When the coding parameters that correspond to the matching extracted feature correspond to the tier of service to which the input video sequence is to be coded, the input video sequence may be coded according to the coding parameters.

    Environment-Aware Supervised HDR Tone Mapping

    公开(公告)号:US20170353704A1

    公开(公告)日:2017-12-07

    申请号:US15611636

    申请日:2017-06-01

    Applicant: Apple Inc.

    Abstract: Embodiments of the present disclosure provide techniques for environment aware supervised HDR tone mapping. According to those techniques, responsive to metadata provided with HDR source video data, the received metadata may be compared to sensor date representing viewing conditions at a display device. Tone mapping corrections to the HDR source video data may be derived from the comparison of the received metadata to the sensor data. The HDR source video data may be altered based on the tone mapping corrections. The altered HDR source video data may be used to drive the display device.

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