Multi-layer-multi-reference prediction using adaptive temporal filtering

    公开(公告)号:US10448013B2

    公开(公告)日:2019-10-15

    申请号:US15387690

    申请日:2016-12-22

    Applicant: GOOGLE INC.

    Abstract: Encoding or decoding blocks of video frames using multiple reference frames with adaptive temporal filtering can include generating one or more candidate reference frames by applying temporal filtering to one or more frames of a video sequence according to relationships between respective ones of the one or more frames and a current frame of the video sequence. A reference frame to use for predicting the current frame can be selected from the one or more candidate reference frames, and a prediction block can be generated using the selected reference frame. During an encoding operation, the prediction block can be used to encode a block of a current frame of the video sequence. During a decoding operation, the prediction block can be used to decode a block of a current frame of the video sequence.

    Context adaptive scan order for entropy coding

    公开(公告)号:US10440394B2

    公开(公告)日:2019-10-08

    申请号:US15259189

    申请日:2016-09-08

    Applicant: GOOGLE INC.

    Abstract: Video coding using a context adaptive scan order for entropy coding may include decoding a current block by identifying a context adaptive scan order for entropy decoding a transform block, which may include identifying non-zero-coefficient probabilities for the transform block such that each location in the transform block corresponds to a respective non-zero-coefficient probability from the non-zero-coefficient probabilities, assigning a respective context adaptive scan order position to each location in the transform block in descending magnitude order of the respective corresponding non-zero-coefficient probabilities such that the context adaptive scan order position for each location exceeds the context adaptive scan order position assigned to entropy coding context locations for the respective location, entropy decoding transform coefficients from the encoded video stream based on the context adaptive scan order, and reconstructing the decoded block based on the transform block.

    DUAL DEBLOCKING FILTER THRESHOLDS
    3.
    发明申请

    公开(公告)号:US20190089969A1

    公开(公告)日:2019-03-21

    申请号:US15706735

    申请日:2017-09-17

    Applicant: GOOGLE INC.

    Abstract: Video coding using dual deblocking filter thresholds may include generating a reconstructed frame by decoding an encoded bitstream and outputting the reconstructed frame. Decoding may include generating a decoded block by decoding a portion of the encoded bitstream, identifying a first deblocking threshold index from the encoded bitstream, identifying a second deblocking threshold index from the encoded bitstream, generating a reconstructed block based on the decoded block, and including the reconstructed block in the reconstructed frame. Generating the reconstructed block may include deblocking based on the first deblocking threshold index and the second deblocking threshold index.

    Hybrid transform in video codecs
    4.
    发明授权

    公开(公告)号:US10142628B1

    公开(公告)日:2018-11-27

    申请号:US15373590

    申请日:2016-12-09

    Applicant: GOOGLE INC.

    Abstract: Decoding an encoded video stream may include identifying an encoded block identifying an intra prediction mode for decoding the encoded block from the encoded video stream, identifying a transform mode from a plurality of transform modes for decoding the encoded block based on the intra prediction mode, identifying a probability model from a plurality of probability models for decoding the encoded block based on the transform mode, identifying a scan mode for decoding the encoded block based on the transform mode, generating a decoded block by decoding the encoded block using the scan mode, the probability model, the transform mode, and the intra prediction mode, and outputting or storing the decoded block.

    Transform Kernel Selection and Entropy Coding

    公开(公告)号:US20180249179A1

    公开(公告)日:2018-08-30

    申请号:US15630071

    申请日:2017-06-22

    Applicant: GOOGLE INC.

    Abstract: Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During an encoding operation, a residual block of a current block is transformed according to a selected transform kernel candidate to produce a transform block. A probability model for encoding the selected transform kernel candidate is then identified based on neighbor transform blocks of the transform block. The selected transform kernel candidate is then encoded according to the probability model. During a decoding operation, the encoded transform kernel candidate is decoded using the probability model. The encoded transform block is then decoded by inverse transforming dequantized transform coefficients thereof according to the decoded transform kernel candidate.

    DC COEFFICIENT SIGN CODING SCHEME
    6.
    发明申请

    公开(公告)号:US20180205947A1

    公开(公告)日:2018-07-19

    申请号:US15409862

    申请日:2017-01-19

    Applicant: GOOGLE INC.

    CPC classification number: H04N19/105 H04N19/13 H04N19/167 H04N19/18 H04N19/91

    Abstract: A sign value of a DC coefficient of a current block is determined using neighbor blocks of the current block. First and second sign values are identified as respectively corresponding to an above neighbor block of the current block and a left neighbor block of the current block. A context value is calculated by applying a first weighting value to the first sign value and a second weighting value to the second sign value. The first weighting value is based on a boundary between the above neighbor block and the current block, and the second weighting value is based on a boundary between the left neighbor block and the current block. A probability value is selected based on the context value. The sign value of the DC coefficient of the current block is then determined using the probability model.

    Hybrid transform scheme for video coding

    公开(公告)号:US09807423B1

    公开(公告)日:2017-10-31

    申请号:US14950024

    申请日:2015-11-24

    Applicant: Google Inc.

    Abstract: Blocks of a frame are encoded by selected according to a hybrid symmetrical discrete sine transform scheme. For a residual block resulting from inter prediction, the residual block is respectively transformed using a discrete cosine transform (DCT) and a symmetrical discrete sine transform (SDST). A first rate-distortion value for encoding the residual block using the DCT and a second rate-distortion value for encoding the residual block using the SDST are generated. For a residual block generated by intra prediction, the residual block is respectively transformed using at least one transform mode, each of which is not the SDST. Multiple inter prediction and intra prediction modes may be considered to encode the current block. The transform mode and the prediction mode resulting in a lowest rate-distortion value for encoding the current block are selected, and the current block is encoded into an encoded bitstream using the selected modes.

    CODING INTERPOLATION FILTER TYPE
    9.
    发明申请

    公开(公告)号:US20170302950A1

    公开(公告)日:2017-10-19

    申请号:US15099853

    申请日:2016-04-15

    Applicant: GOOGLE INC.

    Abstract: Decoding a video stream may include decoding a first block of a current frame by decoding a first motion vector from the encoded video stream, decoding an identifier of a first interpolation filter from the encoded video stream, and reconstructing the first block using the first motion vector and the first interpolation filter. Decoding a second block of the current frame may include identifying the first motion vector from the first block as a selected motion vector for predicting the second block in response to decoding an inter-prediction mode identifier for decoding the second block, identifying the first interpolation filter as a selected interpolation filter for predicting the second block in response to identifying the first motion vector from the first block as the selected motion vector for predicting the second block, and reconstructing the second block using the first motion vector and the first interpolation filter.

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