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公开(公告)号：US20250030881A1
公开(公告)日：2025-01-23
申请号：US18909092
申请日：2024-10-08
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/124 , H04N19/132 , H04N19/157 , H04N19/70 , H04N19/82
Abstract: A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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公开(公告)号：US20240348809A1
公开(公告)日：2024-10-17
申请号：US18751520
申请日：2024-06-24
Applicant: Lemon Inc.
IPC: H04N19/42 , H04N19/124 , H04N19/176 , H04N19/186 , H04N19/30 , H04N19/70 , H04N19/82
CPC classification number: H04N19/42 , H04N19/124 , H04N19/176 , H04N19/186 , H04N19/30 , H04N19/70 , H04N19/82
Abstract: A method implemented by a video coding apparatus. The method includes applying an output of a neural network (NN) filter to an unfiltered sample of a video unit to generate a residual, applying a scaling function to the residual to generate a scaled residual, adding another unfiltered sample to the scaled residual to generate a filtered sample, and converting between a video media file and a bitstream based on the filtered sample that was generated. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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公开(公告)号：US11895330B2
公开(公告)日：2024-02-06
申请号：US17576487
申请日：2022-01-14
Applicant: Lemon Inc.
Inventor： Zhaobin Zhang , Li Zhang , Yue Li , Kai Zhang
IPC: H04N19/587 , H04N19/172 , H04N19/147 , H04N19/31 , H04N19/169 , H04N19/177 , G06N3/08 , H04N19/105 , H04N19/124 , H04N19/132 , H04N19/109 , H04N19/167 , G06N3/045
CPC classification number: H04N19/587 , G06N3/045 , G06N3/08 , H04N19/105 , H04N19/109 , H04N19/124 , H04N19/132 , H04N19/147 , H04N19/167 , H04N19/172 , H04N19/177 , H04N19/1883 , H04N19/31
Abstract: A method of video processing includes determining a target bitrate for a current video unit of a video that is based on a rate distortion function in which a rate portion is weighted using lambda, wherein lambda is a rational number and wherein lambda is an adaptively adjusted for each video unit of the video and performing a conversion between the current video unit and a bitstream of the video.
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公开(公告)号：US11792438B2
公开(公告)日：2023-10-17
申请号：US17488179
申请日：2021-09-28
Applicant: Lemon Inc.
IPC: H04N19/85 , H04N19/96 , H04N19/174 , H04N19/176 , H04N19/184 , H04N19/124 , H04N19/107 , H04N19/573 , G06N3/04
CPC classification number: H04N19/85 , G06N3/04 , H04N19/107 , H04N19/124 , H04N19/174 , H04N19/176 , H04N19/184 , H04N19/573 , H04N19/96
Abstract: Methods, systems, apparatus for media processing are described. One example method of digital media processing includes determining, for a conversion between visual media data and a bitstream of the visual media data, how to apply one or more convolutional neural network filters to at least some samples of a video unit of the visual media data according to a rule; and performing the conversion based on the determining.
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公开(公告)号：US11716469B2
公开(公告)日：2023-08-01
申请号：US17544638
申请日：2021-12-07
Applicant: Lemon Inc.
IPC: H04N19/117 , H04N19/436 , H04N19/82 , H04N19/186 , H04N19/169 , H04N19/70 , H04N19/124 , H04N19/176 , H04N19/132 , G06N3/08
CPC classification number: H04N19/117 , G06N3/08 , H04N19/124 , H04N19/132 , H04N19/176 , H04N19/186 , H04N19/1883 , H04N19/436 , H04N19/70 , H04N19/82
Abstract: A method implemented by a video coding apparatus. The method includes selecting a neural network (NN) filter model from a plurality of NN filter model candidates for each video unit. The NN filter model selected for a first video unit is different than the NN filter model selected for a second video unit. The method also includes converting between a video media file and a bitstream based on the one or more NN filter models selected for the video unit. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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Patent Agency Ranking
公开(公告)号：US11558608B2
公开(公告)日：2023-01-17
申请号：US17512162
申请日：2021-10-27
Applicant: Lemon Inc.
Inventor： Yue Li , Li Zhang , Jizheng Xu
IPC: H04N19/105 , H04N19/119 , H04N19/96 , H04N19/159 , G06T9/40 , H04N19/176 , G06T9/00 , G06V10/94
Abstract: A method implemented by a coding apparatus. The method includes obtaining probabilities of split types being implemented when partitioning a picture, and skipping one or more of the split types based on the probabilities obtained when a coding block is partitioned during a conversion between a video media file and a bitstream. A corresponding apparatus and non-transitory computer readable medium are also provided.
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公开(公告)号：US20220286695A1
公开(公告)日：2022-09-08
申请号：US17681427
申请日：2022-02-25
Applicant: Lemon Inc.
IPC: H04N19/42 , H04N19/82 , H04N19/186 , H04N19/124 , H04N19/176 , H04N19/30 , H04N19/70
Abstract: A method implemented by a video coding apparatus. The method includes applying an output of a neural network (NN) filter to an unfiltered sample of a video unit to generate a residual, applying a scaling function to the residual to generate a scaled residual, adding another unfiltered sample to the scaled residual to generate a filtered sample, and converting between a video media file and a bitstream based on the filtered sample that was generated. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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公开(公告)号：US12113995B2
公开(公告)日：2024-10-08
申请号：US17714024
申请日：2022-04-05
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/124 , H04N19/132 , H04N19/157 , H04N19/70 , H04N19/82
CPC classification number: H04N19/436 , H04N19/124 , H04N19/132 , H04N19/157 , H04N19/70 , H04N19/82
Abstract: A method of processing video data. The method includes determining that a supplemental enhancement information (SEI) message of a bitstream includes indicators specifying one or more neural network (NN) filter model candidates or selections for a video unit or samples within the video unit, and converting between a video media file comprising the video unit and the bitstream based on the indicators. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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公开(公告)号：US12095988B2
公开(公告)日：2024-09-17
申请号：US17848054
申请日：2022-06-23
Applicant: Lemon, Inc.
IPC: H04N19/117 , G06N3/04 , H04N19/132 , H04N19/176 , H04N19/82
CPC classification number: H04N19/117 , G06N3/04 , H04N19/132 , H04N19/176 , H04N19/82
Abstract: A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is based on an NN filter model configured to obtain an attention based on a coding parameter input. The method also includes performing a conversion between a video media file and a bitstream based on the filtered sample that was generated.
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公开(公告)号：US12034916B2
公开(公告)日：2024-07-09
申请号：US17829892
申请日：2022-06-01
Applicant: Lemon Inc.
Inventor： Zhaobin Zhang , Li Zhang , Yue Li , Kai Zhang
IPC: H04N19/105 , H04N19/107 , H04N19/137 , H04N19/176
CPC classification number: H04N19/105 , H04N19/107 , H04N19/137 , H04N19/176
Abstract: A mechanism for processing video data is disclosed. A determination is made to apply an end-to-end neural network-based video codec to a current video unit of a video. The end-to-end neural network-based video codec comprises a spatial-temporal adaptive compression (STAC) component including a frame extrapolative compression (FEC) branch and an image compression branch. A conversion is performed between the current video unit and a bitstream of the video via the end-to-end neural network-based video codec.
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