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1. 发明申请

US20230096567A1 HYBRID NEURAL NETWORK BASED END-TO-END IMAGE AND VIDEO CODING METHOD 有权
公开(公告)号：US20230096567A1
公开(公告)日：2023-03-30
申请号：US17951919
申请日：2022-09-23
申请人： APPLE INC.
发明人： Alican NALCI , Alexandros TOURAPIS , Hsi-Jung WU , Jiefu ZHAI , Jingteng XUE , Jun XIN , Mei GUO , Xingyu ZHANG , Yeqing WU , Yunfei ZHENG , Jean Begaint
IPC分类号： H04N19/147 , H04N19/42 , H04N19/172 , H04N19/176 , H04N19/186 , H04N19/119 , H04N19/91 , H04N19/70 , H04N19/124 , H04N19/60
摘要： Improved neural-network-based image and video coding techniques are presented, including hybrid techniques that include both tools of a host codec and neural-network-based tools. In these improved techniques, the host coding tools may include conventional video coding standards such H.266 (VVC). In an aspects, source frames may be partitioned and either host or neural-network-based tools may be selected per partition. Coding parameter decisions for a partition may be constrained based on the partitioning and coding tool selection. Rate control for host and neural network tools may be combined. Multi-stage processing of neural network output may use a checkerboard prediction pattern.

2. 发明公开

US20240129472A1 CONTEXT MODELING IN ENTROPY CODING 审中-公开
公开(公告)号：US20240129472A1
公开(公告)日：2024-04-18
申请号：US18468900
申请日：2023-09-18
申请人： Apple Inc.
发明人： Yeqing WU , Yunfei ZHENG , Alican NALCI , Yixin DU , Hilmi Enes EGILMEZ , Guoxin JIN , Alexandros TOURAPIS , Jun XIN , Hsi-Jung WU
IPC分类号： H04N19/13 , H04N19/129 , H04N19/176
CPC分类号： H04N19/13 , H04N19/129 , H04N19/176
摘要： Improved lossless entropy coding techniques for coding of image data include selecting a context for entropy coding based on an ordered scan path of possible context locations. A symbol for a current location within a source image may be entropy coded based on a context of prior encoded symbols of other locations within source images, where the context is selected based on an ordered scan path enumerating a series of potential context locations within one or more source images. To select a context, a predetermined number of prior symbols may be selected by qualifying or disqualifying locations in the scan path, and then the current symbol may be encoded with a context based on prior symbols corresponding to the first qualifying context locations in the order of the scan path.

3. 发明公开

US20230143147A1 ENHANCED CROSS COMPONENT SAMPLE OFFSET FILTERING SYSTEM FOR VIDEO CODING AND DECODING 审中-公开
公开(公告)号：US20230143147A1
公开(公告)日：2023-05-11
申请号：US17979027
申请日：2022-11-02
申请人： Apple Inc.
发明人： Yixin DU , Alexandros TOURAPIS , Yunfei ZHENG , Jun XIN , Alican NALCI , Mei T. GUO , Yeqing WU , Hsi-Jung WU
IPC分类号： H04N19/82 , H04N19/186 , H04N19/70
CPC分类号： H04N19/82 , H04N19/70 , H04N19/186
摘要： A cross-component based filtering system is disclosed for video coders and decoders. The filtering system may include a filter having an input for a filter offset and an input for samples reconstructed from coded video data representing a native component of source video on which the filter operates. The offset may be generated at least in part from a sample classifier that classifies samples reconstructed from coded video data representing a color component of the source video orthogonal to the native component according to sample intensity.

4. 发明申请

US20220191473A1 NEURAL NETWORK BASED RESIDUAL CODING AND PREDICTION FOR PREDICTIVE CODING 有权
公开(公告)号：US20220191473A1
公开(公告)日：2022-06-16
申请号：US17568266
申请日：2022-01-04
申请人： Apple Inc.
发明人： Jiefu ZHAI , Xingyu ZHANG , Xiaosong ZHOU , Jun XIN , Hsi-Jung WU , Yeping SU
IPC分类号： H04N19/105 , H04N19/147 , H04N19/159 , H04N19/176 , H04N19/61 , G06N3/08
摘要： Systems and methods disclosed for video compression, utilizing neural networks for predictive video coding. Processes employed combine multiple banks of neural networks with codec system components to carry out the coding and decoding of video data.

5. 发明公开

US20240073438A1 MOTION VECTOR CODING SIMPLIFICATIONS 审中-公开
公开(公告)号：US20240073438A1
公开(公告)日：2024-02-29
申请号：US18452194
申请日：2023-08-18
申请人： Apple Inc.
发明人： Yeqing WU , Yunfei ZHENG , Guoxin JIN , Yixin DU , Alican NALCI , Hilmi Enes EGILMEZ , Jun XIN , Hsi-Jung WU
IPC分类号： H04N19/513 , H04N19/176
CPC分类号： H04N19/513 , H04N19/176
摘要： Techniques are disclosed for improved video coding with virtual reference frames. A motion vector for prediction of a pixel block from a reference may be constrained based on the reference. In as aspect, if the reference is a temporally interpolated virtual reference frame with corresponding time close to the time of the current pixel block, the motion vector for prediction may be constrained magnitude and/or precision. In another aspect, a bitstream syntax for encoding the constrained motion vector may also be constrained. In this manner, the techniques proposed herein contribute to improved coding efficiencies.

6. 发明公开

US20230300341A1 PREDICTIVE VIDEO CODING EMPLOYING VIRTUAL REFERENCE FRAMES GENERATED BY DIRECT MV PROJECTION (DMVP) 审中-公开
公开(公告)号：US20230300341A1
公开(公告)日：2023-09-21
申请号：US18157360
申请日：2023-01-20
申请人： APPLE INC.
发明人： Yeqing WU , Yunfei ZHENG , Alexandros TOURAPIS , Alican NALCI , Yixin DU , Hilmi Enes EGILMEZ , Albert E. KEINATH , Jun XIN , Hsi-Jung WU
IPC分类号： H04N19/139 , H04N19/176
CPC分类号： H04N19/139 , H04N19/176
摘要： Techniques are disclosed for generating virtual reference frames that may be used for prediction of input video frames. The virtual reference frames may be derived from already-coded reference frames and thereby incur reduced signaling overhead. Moreover, signaling of virtual reference frames may be avoided until an encoder selects the virtual reference frame as a prediction reference for a current frame. In this manner, the techniques proposed herein contribute to improved coding efficiencies.

7. 发明公开

US20230142771A1 MULTI-FEATURE SAMPLE OFFSET FILTERING SYSTEM FOR VIDEO CODING AND DECODING 审中-公开
公开(公告)号：US20230142771A1
公开(公告)日：2023-05-11
申请号：US17979025
申请日：2022-11-02
申请人： Apple Inc.
发明人： Yixin DU , Alexandros TOURAPIS , Yunfei ZHENG , Jun XIN , Mukta S. Gore , Alican NALCI , Mei T. GUO , Yeqing WU , Hsi-Jung WU
IPC分类号： H04N19/82 , H04N19/132 , H04N19/186 , H04N19/176
CPC分类号： H04N19/82 , H04N19/132 , H04N19/186 , H04N19/176
摘要： A filtering system for video coders and decoders is disclosed that includes a feature detector having an input for samples reconstructed from coded video data representing a color component of source video, and having an output for data identifying a feature recognized therefrom, an offset calculator having an input for the feature identification data from the feature detector and having an output for a filter offset, and a filter having an input for the filter offset from the offset calculator and an input for the reconstructed samples, and having an output for filtered samples. The filtering system is expected to improve operations of video coder/decoder filtering systems by selecting filtering offsets from analysis of recovered video data in a common color plane as the samples that will be filtered.

8. 发明申请

US20200236349A1 PREDICTIVE CODING WITH NEURAL NETWORKS 审中-公开
公开(公告)号：US20200236349A1
公开(公告)日：2020-07-23
申请号：US16254528
申请日：2019-01-22
申请人： Apple Inc.
发明人： Jiefu ZHAI , Xingyu ZHANG , Xiaosong ZHOU , Jun XIN , Hsi-Jung WU , Yeping SU
IPC分类号： H04N19/105 , H04N19/147 , H04N19/159 , H04N19/176 , H04N19/61 , G06N3/08
摘要： Systems and methods disclosed for video compression, utilizing neural networks for predictive video coding. Processes employed combine multiple banks of neural networks with codec system components to carry out the coding and decoding of video data.

9. 发明申请

US20200120345A1 LUMA AND CHROMA RESHAPING OF HDR VIDEO ENCODING 审中-公开
公开(公告)号：US20200120345A1
公开(公告)日：2020-04-16
申请号：US16156193
申请日：2018-10-10
申请人： Apple Inc.
发明人： Mei GUO , Jun XIN , Jun XU , Yeping SU , Chris CHUNG , Xiaosong ZHOU , Hsi-Jung WU
IPC分类号： H04N19/186 , H04N19/12 , H04N19/136 , H04N19/51
摘要： Systems and methods are disclosed for reshaping HDR video content to improve compression efficiency while using standard encoding/decoding techniques. Input HDR video frames, e.g., represented in an IPT color space, may be reshaped before the encoding/decoding process and the corresponding reconstructed HDR video frames may then be reverse reshaped. The disclosed reshaping methods may be combinations of scene-based or segment-based methods.

10. 发明公开

US20240040124A1 FLEXIBLE COEFFICIENT CODING IN VIDEO COMPRESSION 审中-公开
公开(公告)号：US20240040124A1
公开(公告)日：2024-02-01
申请号：US18358094
申请日：2023-07-25
申请人： Apple Inc.
发明人： Alican NALCI , Yunfei ZHENG , Hilmi Enes EGILMEZ , Yeqing WU , Yixin DU , Alexandros TOURAPIS , Jun XIN , Hsi-Jung WU , Arash VOSOUGHI , Dzung T. HOANG
IPC分类号： H04N19/13 , H04N19/70 , H04N19/61 , H04N19/176
CPC分类号： H04N19/13 , H04N19/70 , H04N19/61 , H04N19/176
摘要： A flexible coefficient coding (FCC) approach is presented. In the first aspect, spatial sub-regions are defined over a transform unit (TU) or a prediction unit (PU). These sub-regions organize the coefficient samples residing inside a TU or a PU into variable coefficient groups (VCGs). Each VCG corresponds to a sub-region inside a larger TU or PU. The shape of VCGs or the boundaries between different VCGs may be irregular, determined based on the relative distance of coefficient samples with respect to each other. Alternatively, the VCG regions may be defined according to scan ordering within a TU. Each VCG can encode a 1) different number of symbols for a given syntax element, or a 2) different number of syntax elements within the same TU or PU. Whether to code more symbols or more syntax elements may depend on the type of arithmetic coding engine used in a particular coding specification. For multi-symbol arithmetic coding (MS-AC), a VCG may encode a different number of symbols for a syntax element. For example, to encode absolute coefficient values inside a TU after performing a transform such as the discrete cosine transform (DCT), a VCG region may be defined around lower-frequency transform coefficients and for that VCG M-symbols can be encoded the absolute coefficient values. Another VCG region can be defined around the higher-frequency transform coefficients to encode K-symbols, where K may be different than M. For binary arithmetic coders (BACs), FCC allows for coding a variable number of syntax elements in different VCGs. In this case, one VCG in a TU may code M-syntax elements associated with signaling the absolute coefficient value, where each one of the M-syntax elements may have 2-symbols. Probability models and context derivation rules may be tailored for each VCG in a given TU or PU. Since each VCG may code a different number of symbols or syntax elements in different spatial locations of a TU or PU, different context models may be used for each VCG to provide better granularity for entropy modeling for arithmetic coding. Furthermore, different VCGs may also use different entropy coders including combinations of arithmetic coding, Golomb-Rice coding, Huffman coding.

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