-
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.
-
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.
-
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.
-
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.
-
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.
-
Patent Agency Ranking
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.
-
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.
-
公开(公告)号：US20220132103A1
公开(公告)日：2022-04-28
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 , G06T9/00 , G06T9/40 , G06K9/00 , H04N19/176 , H04N19/159
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.
-
公开(公告)号：US20250008100A1
公开(公告)日：2025-01-02
申请号：US18886375
申请日：2024-09-16
Applicant: Lemon, Inc.
IPC: 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.
-
公开(公告)号：US20230023579A1
公开(公告)日：2023-01-26
申请号：US17848068
申请日：2022-06-23
Applicant: Lemon, Inc.
IPC: H04N19/117 , H04N19/80 , H04N19/105 , H04N19/176
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, where the NN filter is based on a first NN filter model having a first depth, or a second NN filter model having a second depth, where the depth comprises a number of residual blocks of the respective NN filter model, and where the second depth is different than the first depth. The method also includes performing a conversion between a video media file and a bitstream based on the filtered sample.
-
-
-
-
-
-
-
-
-
Search Results
30
records
(took 0.02 seconds)
