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公开(公告)号:US20220248025A1
公开(公告)日:2022-08-04
申请号:US17157698
申请日:2021-01-25
Applicant: Lemon Inc.
Inventor: Zhipin Deng , Kai Zhang , Li Zhang
IPC: H04N19/132 , H04N19/105 , H04N19/186 , H04N19/176
Abstract: Example implementations include a method, apparatus and computer-readable medium of video coding, comprising receiving the code block and one or more neighbor samples and determining the value of beta based on at least one of an average chroma value, a midrange chroma value, a median chroma value, an average luma value, a midrange luma value, or a median luma value of two or more neighbor samples.
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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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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:US20230063730A1
公开(公告)日:2023-03-02
申请号:US17462853
申请日:2021-08-31
Applicant: LEMON INC.
Inventor: Jianjun Chen , Yonghua Ding , Ye Liu , Fangshi Li , Li Zhang , Mingyi Zhang , Kui Wei , Wei Ding , Kai Wu , Jason Yang Sun
Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.
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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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