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公开(公告)号:US20240430432A1
公开(公告)日:2024-12-26
申请号:US18828541
申请日:2024-09-09
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jue Mao , Yin Zhao , Dequan Yu , Lian Zhang
IPC: H04N19/136 , H04N19/124 , H04N19/146 , H04N19/184 , H04N19/42
Abstract: When probability estimation is performed in encoding and decoding processes, probability distribution of an unquantized image feature is estimated based on a hyperprior feature of the unquantized image feature via a first probability distribution estimation network, and then probability distribution of a quantized image feature is obtained through quantization. Alternatively, probability distribution of a quantized image feature is directly estimated based on a hyperprior feature of an unquantized image feature via a second probability distribution estimation network.
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公开(公告)号:US20240105193A1
公开(公告)日:2024-03-28
申请号:US18526406
申请日:2023-12-01
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jue Mao , Yin Zhao , Ning Yan , Haitao Yang , Lian Zhang , Jing Wang , Yibo Shi
IPC: G10L19/08
CPC classification number: G10L19/08
Abstract: This application provides picture or audio encoding and decoding methods and apparatuses, and relates to the field of artificial intelligence (AI)—based picture or audio encoding and decoding technologies, and specifically, to the field of neural network-based picture feature map or audio feature variable encoding and decoding technologies. The encoding method includes: obtaining a to-be-encoded target, where the to-be-encoded target includes a plurality of feature elements, and the plurality of feature elements include a first feature element. The method further includes: obtaining a probability estimation result of the first feature element; determining, based on the probability estimation result of the first feature element, whether to perform entropy encoding on the first feature element; and performing entropy encoding on the first feature element only when it is determined that entropy encoding needs to be performed on the first feature element.
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公开(公告)号:US11202077B2
公开(公告)日:2021-12-14
申请号:US16711718
申请日:2019-12-12
Applicant: Huawei Technologies Co., Ltd.
IPC: H04N19/139 , H04N19/105 , H04N19/159 , H04N19/176
Abstract: A motion vector prediction method and device, includes determining a motion vector type of the motion vector of the current block based on a reference frame type of the reference frame, obtaining a motion vector type of a first motion vector of at least one spatially adjacent prediction block of the current block when the at least one spatially adjacent prediction block is an inter-frame prediction block, and when the obtained motion vector type of the first motion vector is different from all motion vector types of motion vectors of the current block, determining a second motion vector of a spatially adjacent pixel block of the current block based on decoding information of the spatially adjacent pixel block, and using the second motion vector or a scaling value of the second motion vector as a candidate motion vector predictor of the current block.
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公开(公告)号:US20250030879A1
公开(公告)日:2025-01-23
申请号:US18908185
申请日:2024-10-07
Applicant: Huawei Technologies Co., Ltd.
Inventor: Jue Mao , Yin Zhao , Haitao Yang , Lian Zhang
IPC: H04N19/30 , H04N19/119 , H04N19/17 , H04N19/182 , H04N19/187 , H04N19/91
Abstract: A method for encoding the region enhancement layer includes obtaining reconstructed pixels of a base layer of a target region; inputting the reconstructed pixels into a correction network to obtain correction information of the target region; inputting the correction information and original pixels of the target region into an encoding network to obtain a residual feature map of an enhancement layer of the target region; and encoding the residual feature map to obtain an enhancement layer bitstream of the target region.
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