Video coding techniques for high quality coding of low motion content

    公开(公告)号:US10735773B2

    公开(公告)日:2020-08-04

    申请号:US14730975

    申请日:2015-06-04

    Applicant: Apple Inc.

    Abstract: Techniques for coding video data are described that maintain high precision coding for low motion video content. Such techniques include determining whether a source video sequence to be coded has low motion content. When the source video sequence contains low motion content, the video sequence may be coded as a plurality of coded frames using a chain of temporal prediction references among the coded frames. Thus, a single frame in the source video sequence is coded as a plurality of frames. Because the coded frames each represent identical content, the quality of coding should improve across the plurality of frames. Optionally, the disclosed techniques may increase the resolution at which video is coded to improve precision and coding quality.

    Applications for decoder-side modeling of objects identified in decoded video data

    公开(公告)号:US10652567B2

    公开(公告)日:2020-05-12

    申请号:US15938158

    申请日:2018-03-28

    Applicant: Apple Inc.

    Abstract: Techniques are disclosed for coding and decoding video data using object recognition and object modeling as a basis of coding and error recovery. A video decoder may decode coded video data received from a channel. The video decoder may perform object recognition on decoded video data obtained therefrom, and, when an object is recognized in the decoded video data, the video decoder may generate a model representing the recognized object. It may store data representing the model locally. The video decoder may communicate the model data to an encoder, which may form a basis of error mitigation and recovery. The video decoder also may monitor deviation patterns in the object model and associated patterns in audio content; if/when video decoding is suspended due to operational errors, the video decoder may generate simulated video data by analyzing audio data received during the suspension period and developing video data from the data model and deviation(s) associated with patterns detected from the audio data.

    Sample adaptive offset for high dynamic range (HDR) video compression

    公开(公告)号:US10200687B2

    公开(公告)日:2019-02-05

    申请号:US15612880

    申请日:2017-06-02

    Applicant: Apple Inc.

    Abstract: Methods of sample adaptive offset (SAO) for high dynamic range (HDR) video compression are disclosed. For band offset (BO), the sample range of each component is unequally divided into a number of bands based on the distribution of samples, the electro-optical transfer function (EOTF) of HDR source and one perceptually uniform EOTF. Each component may have a different number of bands, different number of signaled bands, and different range value for signaled offsets in BO mode. For edge offset (EO), Cb and Cr may use separate syntax elements. In the sample classification for EO, the difference between the current sample and its neighbor is compared with a threshold to determine whether it is a local valley, a local peak, or corners. A distortion measure for HDR source images are also disclosed.

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