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公开(公告)号：US20230007246A1
公开(公告)日：2023-01-05
申请号：US17848054
申请日：2022-06-23
Applicant: Lemon, Inc.
IPC: H04N19/117 , H04N19/82 , H04N19/132 , H04N19/176 , G06N3/04
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：US20220394308A1
公开(公告)日：2022-12-08
申请号：US17720125
申请日：2022-04-13
Applicant: Lemon Inc. , Beijing Bytedance Network Technology Co., Ltd. , Bytedance INC. , Bytedance (HK) Limited
IPC: H04N19/82 , H04N19/70 , H04N19/117
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 applied based on a syntax element of the video unit. The method also includes converting 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：US20220394288A1
公开(公告)日：2022-12-08
申请号：US17745323
申请日：2022-05-16
Applicant: Lemon Inc.
IPC: H04N19/463 , H04N19/117 , H04N19/42 , H04N7/01 , H04N19/31 , H04N19/187 , H04N19/82
Abstract: A method of processing video data including determining, for a conversion between a video and a bitstream of the video, that the bitstream includes an indicator. The indicator indicates that a first parameter set for a neural network (NN) filter model includes different filter parameters than a second parameter set for the NN filter model. The method further includes performing the conversion based on the indicator. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
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公开(公告)号：US11477437B2
公开(公告)日：2022-10-18
申请号：US17161335
申请日：2021-01-28
Applicant: Lemon Inc.
IPC: H04N19/105 , H04N19/132 , H04N19/176 , H04N19/186 , H04N19/46
Abstract: Implementations of the present disclosure provide a solution for encoding and decoding motion information. In this solution, during a conversion between a current video block of a video and a bitstream of the video, a group type of a subgroup of candidates of motion information for the current video block is determined, wherein the group type indicating whether the subgroup of candidates are to be reordered. Further, a list of candidates are constructed based on the group type; and the motion information for the current video block is derived from the list of candidates.
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公开(公告)号：US20220329836A1
公开(公告)日：2022-10-13
申请号：US17714014
申请日：2022-04-05
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/132 , H04N19/154 , H04N19/124 , H04N19/169 , H04N19/30 , H04N19/186 , H04N19/172 , H04N19/82 , H04N19/70
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, wherein the NN filter is based on an NN filter model generated using a quality-level indicator (QI) input. The method also includes converting between a video media file and a bitstream based on the filtered sample that was generated.
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Patent Agency Ranking
公开(公告)号：US20220191483A1
公开(公告)日：2022-06-16
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
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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公开(公告)号：US12219166B2
公开(公告)日：2025-02-04
申请号：US17200632
申请日：2021-03-12
Applicant: Lemon Inc.
Inventor： Na Zhang , Kai Zhang , Hongbin Liu , Li Zhang , Yue Wang
IPC: H04N19/513 , H04N19/105 , H04N19/132 , H04N19/137 , H04N19/176 , H04N19/186
Abstract: Example implementations include methods, apparatuses and computer storage media for video processing. One example method comprises determining, during a conversion between a current video block of a video and a bitstream of the video, a motion candidate for the current video block; refining the motion candidate by performing a local search around the motion candidate based on a template matching cost rule; and performing the conversion based on the refined motion candidate, wherein a search order of the local search is related to a coding mode of the current video block.
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公开(公告)号：US12022098B2
公开(公告)日：2024-06-25
申请号：US17681427
申请日：2022-02-25
Applicant: Lemon Inc.
IPC: H04N19/30 , H04N19/124 , H04N19/176 , H04N19/186 , H04N19/42 , 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：US11979591B2
公开(公告)日：2024-05-07
申请号：US17714014
申请日：2022-04-05
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/124 , H04N19/132 , H04N19/154 , H04N19/169 , H04N19/172 , H04N19/186 , H04N19/30 , H04N19/70 , H04N19/82
CPC classification number: H04N19/436 , H04N19/124 , H04N19/132 , H04N19/154 , H04N19/172 , H04N19/186 , H04N19/1883 , H04N19/30 , H04N19/70 , 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, wherein the NN filter is based on an NN filter model generated using a quality-level indicator (QI) input. The method also includes converting 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：US11902537B2
公开(公告)日：2024-02-13
申请号：US17837867
申请日：2022-06-10
Applicant: Lemon Inc.
Inventor： Yang Wang , Kai Zhang , Li Zhang , Yuwen He , Hongbin Liu
IPC: H04N19/159 , H04N19/70 , H04N19/176 , H04N19/147
CPC classification number: H04N19/159 , H04N19/147 , H04N19/176 , H04N19/70
Abstract: Example implementations include a method, apparatus and computer-readable medium of video processing, including constructing, during a conversion between a current video block of a video and a bitstream of the video, at least one template set for the current video block from a plurality of sub-templates. The one or more sub-templates may be selected from a plurality of sub-templates including: a left sub-template, an above sub-template, a right-above sub-template, a left-below sub-template, and a left-above sub-template. The implementations further include deriving at least one intra-prediction mode (IPM) based on cost calculations. The implementations include determining, based on the at least one IPM, a final predictor of the current video block. The implementations include performing the conversion based on the final predictor.
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