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公开(公告)号：US11949918B2
公开(公告)日：2024-04-02
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 , H04N19/117 , H04N19/176 , H04N19/70
CPC classification number: H04N19/82 , H04N19/117 , 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. 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：US11936899B2
公开(公告)日：2024-03-19
申请号：US17200631
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 , H04N19/137 , H04N19/176 , H04N19/46
CPC classification number: H04N19/513 , H04N19/105 , H04N19/137 , H04N19/176 , H04N19/46
Abstract: Embodiments of the present disclosure provide 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, at least one set of motion candidates for the current video block, each motion candidate comprising predicted motion information determined from neighboring video blocks of the current video block; determining, based on a template of the current video block and from the at least one set of motion candidates, a target motion candidate for the current video block by using a template matching cost rule; and performing the conversion based on the target motion candidate.
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公开(公告)号：US11671616B2
公开(公告)日：2023-06-06
申请号：US17200628
申请日：2021-03-12
Applicant: Lemon Inc.
Inventor： Na Zhang , Kai Zhang , Hongbin Liu , Li Zhang , Yue Wang
IPC: H04N19/533 , H04N19/513 , H04N19/137 , H04N19/176 , H04N19/159 , H04N19/105
CPC classification number: H04N19/513 , H04N19/105 , H04N19/137 , H04N19/159 , H04N19/176
Abstract: Embodiments of the present disclosure provide 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 set of motion candidates for the current video block; determining, for each motion candidate in the set of motion candidates, a refined motion candidate by performing a local search around the each motion candidate based on a template matching cost rule; determining, from a set of refined motion candidates generated for the set of motion candidates, a target motion candidate for the current video block; and performing the conversion based on the target motion candidate.
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公开(公告)号：US20230051066A1
公开(公告)日：2023-02-16
申请号：US17874817
申请日：2022-07-27
Applicant: Lemon Inc.
IPC: H04N19/117 , H04N19/82 , H04N19/132 , H04N19/186 , H04N19/182
Abstract: A method implemented by a video coding apparatus. The method includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample, where the NN filter includes an NN filter model generated based on partitioning information of the video unit; and performing a conversion between a video media file and a bitstream based on the filtered sample.
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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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Patent Agency Ranking
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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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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