Neural network powered codec
    1.
    发明授权

    公开(公告)号:US11432008B2

    公开(公告)日:2022-08-30

    申请号:US17341825

    申请日:2021-06-08

    Abstract: Training a video decoder system may include masking one of at least two sets of video encoding parameters with invalid values to generate an invalid set. The at least two sets of video encoding parameters are provided to one or more neural networks to train them to predict valid values that correspond to values of the invalid set using an iterative training algorithm. Encoding parameters to encode are determined based on a prediction error of the one or more neural networks. Encoding parameters which are determined to be accurately predicted are dropped from the encoded data. A new video stream is encoded without the dropped encoding parameters.

    NEURAL NETWORK POWERED CODEC
    2.
    发明申请

    公开(公告)号:US20210297695A1

    公开(公告)日:2021-09-23

    申请号:US17341825

    申请日:2021-06-08

    Abstract: Training a video decoder system may include masking one of at least two sets of video encoding parameters with invalid values to generate an invalid set. The at least two sets of video encoding parameters are provided to one or more neural networks to train them to predict valid values that correspond to values of the invalid set using an iterative training algorithm. Encoding parameters to encode are determined based on a prediction error of the one or more neural networks. Encoding parameters which are determined to be accurately predicted are dropped from the encoded data. A new video stream is encoded without the dropped encoding parameters.

    Fast region of interest coding using multi-segment temporal resampling

    公开(公告)号:US11164339B2

    公开(公告)日:2021-11-02

    申请号:US16721733

    申请日:2019-12-19

    Abstract: A method, system and computer readable instructions for video encoding comprising, determining one or more region of interest (ROI) parameters for pictures in a picture stream and a temporal down sampling interval. One or more areas outside the ROI in a picture in the picture stream are temporally down sampled according to the interval. The resulting temporally down sampled picture is then encoded and the encoded temporally down-sampled picture is transmitted. Additionally, a picture encoded in this way in an encoded picture stream may be decoded and areas outside an ROI of the picture may be temporally up sampled. The temporally up sampled areas outside the ROI are inserted into the decoded encoded picture stream.

    Neural network powered codec
    4.
    发明授权

    公开(公告)号:US11032569B2

    公开(公告)日:2021-06-08

    申请号:US16684279

    申请日:2019-11-14

    Abstract: Training a video decoder system may include generating at least two valid sets of video encoding parameters and masking one of the sets with invalid values to generate an invalid set. The valid sets of video encoding parameters may be provided to one or more neural networks to train them to predict valid values that correspond to values of the invalid set using an iterative training algorithm. A prediction error of the predicted valid values is determined from the results of the training of the neural networks and the valid video encoding parameters. The prediction error is inserted into encoding data and encoded parameters determined to be accurately predicted with the addition of the prediction error are dropped. A new video stream is encoded with the predication error and without the dropped encoding parameters.

    Enhanced security for hardware decoder accelerator

    公开(公告)号:US09740886B2

    公开(公告)日:2017-08-22

    申请号:US14192782

    申请日:2014-02-27

    CPC classification number: G06F21/76 G06F12/14 G06F21/556

    Abstract: A software security layer may be used to protect a system against exploitation of a hardware encoder accelerator by malicious data embedded in the one or more frames of encoded digital streaming data. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

    FAST REGION OF INTEREST CODING USING MULTI-SEGMENT TEMPORAL RESAMPLING

    公开(公告)号:US20210142520A1

    公开(公告)日:2021-05-13

    申请号:US16721733

    申请日:2019-12-19

    Abstract: A method, system and computer readable instructions for video encoding comprising, determining one or more region of interest (ROI) parameters for pictures in a picture stream and a temporal down sampling interval. One or more areas outside the ROI in a picture in the picture stream are temporally down sampled according to the interval. The resulting temporally down sampled picture is then encoded and the encoded temporally down-sampled picture is transmitted. Additionally, a picture encoded in this way in an encoded picture stream may be decoded and areas outside an ROI of the picture may be temporally up sampled. The temporally up sampled areas outside the ROI are inserted into the decoded encoded picture stream.

    NEURAL NETWORK POWERED CODEC
    8.
    发明申请

    公开(公告)号:US20190387252A1

    公开(公告)日:2019-12-19

    申请号:US16012570

    申请日:2018-06-19

    Abstract: Training a video decoder system comprising, generating at least two sets of video encoding parameters wherein the at least two sets of video encoding parameters are valid, masking a set of the at least two sets of encoding parameters with invalid values to generate an invalid set of video encoding parameters, providing a set of the at least two sets of video encoding parameters to a neural network, training the neural network to predict valid video encoding parameter values for the invalid set using an iterative training algorithm, determining which encoding parameters need to be encoded based on analysis of a prediction error of the trained recurrent neural network, dropping the encoding parameters from the encoded data which are determined to be accurately predicted by the trained recurrent neural network, encoding a new video stream without the dropped encoding parameters. A coder and decoder system with neural network is also disclosed.

    Software hardware hybrid video encoder

    公开(公告)号:US10349069B2

    公开(公告)日:2019-07-09

    申请号:US13710794

    申请日:2012-12-11

    Abstract: In aspects of the present disclosure, a software encoder augments a hardware encoder by implementing portions of a video encoding task that are not supported by the hardware encoder while the hardware encoder implements other portions of the encoding task. The use of a software encoder to augment a hardware encoder in this manner can extend the useful life of a hardware encoder, allow the system to adapt to changes in video coding standards, and in some cases improve performance of encoding implemented by hardware or software alone. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

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