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公开(公告)号：US20230062198A1
公开(公告)日：2023-03-02
申请号：US17462938
申请日：2021-08-31
Applicant: LEMON INC.
Inventor： Jianjun Chen , Yonghua Ding , Ye Liu , Fangshi Li , Lixun Cao , Yang Liu , Li Zhang , Mingyi Zhang , Xiangrui Meng , Junda Zhao , Lei Zhang , Rui Shi
Abstract: The present disclosure describes techniques of providing data consistency for hybrid transactional and analytical processing. Logical logs and log serial numbers (LSNs) associated with the logical logs may be generated based on data captured by a first processing engine. The logical logs and the LSNs may be propagated to a storage subsystem configured to be in communication with the first processing engine and a second processing engine. The LSNs and information indicative of LSN schema versions may be stored and distributed by a metadata service. The first processing engine, the second processing engine, the storage subsystem and the metadata service are modularized, and support a LSN mechanism for maintaining data consistency.
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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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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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Patent Agency Ranking
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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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.
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公开(公告)号：US20240298020A1
公开(公告)日：2024-09-05
申请号：US18657026
申请日：2024-05-07
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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