-
公开(公告)号：US20220394309A1
公开(公告)日：2022-12-08
申请号：US17744060
申请日：2022-05-13
Applicant: Lemon Inc.
IPC: H04N19/82 , G06T9/00 , H04N19/184 , H04N19/124
Abstract: A method implemented by a video coding apparatus. The method includes determining, in real time, padding dimensions for padding samples to be applied to a video unit of a video for in-loop filtering, wherein d1, d2, d3, and d4 represent the padding dimensions corresponding to top, bottom, left, and right boundaries of the video unit, respectively; and performing a conversion between a video unit and a bitstream of the video based on the padding dimensions that were determined. A corresponding video coding apparatus and non-transitory computer-readable recording medium are also disclosed.
-
公开(公告)号：US20220239944A1
公开(公告)日：2022-07-28
申请号：US17576487
申请日：2022-01-14
Applicant: Lemon Inc.
Inventor： Zhaobin Zhang , Li Zhang , Yue Li , Kai Zhang
IPC: H04N19/587 , H04N19/172 , H04N19/147 , H04N19/31 , H04N19/169 , H04N19/177 , H04N19/167 , H04N19/105 , H04N19/124 , H04N19/132 , H04N19/109 , G06N3/04 , G06N3/08
Abstract: A method of video processing includes determining a target bitrate for a current video unit of a video that is based on a rate distortion function in which a rate portion is weighted using lambda, wherein lambda is a rational number and wherein lambda is an adaptively adjusted for each video unit of the video and performing a conversion between the current video unit and a bitstream of the video.
-
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.
-
公开(公告)号：US20240276020A1
公开(公告)日：2024-08-15
申请号：US18624889
申请日：2024-04-02
Applicant: Lemon Inc. , Beijing Bytedance Network Technology Co., Ltd. , Bytedance Inc. , Bytedance (HK) Limited
IPC: H04N19/82 , H04N19/117 , 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：US20220337853A1
公开(公告)日：2022-10-20
申请号：US17714027
申请日：2022-04-05
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/82 , H04N19/136 , H04N19/124 , H04N19/117 , H04N19/146 , H04N19/70 , H04N19/169 , H04N19/31 , H04N19/132
Abstract: A method of processing video data. The method includes selecting an in-loop filter from a plurality of neural network (NN) filter model candidates, wherein the plurality of NN filter model candidates are based on a reconstructed quality level of a video unit, and performing a conversion between a video media file comprising the video unit and a bitstream based on the in-loop filter selected. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.
-
Patent Agency Ranking
公开(公告)号：US20220329837A1
公开(公告)日：2022-10-13
申请号：US17714024
申请日：2022-04-05
Applicant: Lemon Inc.
IPC: H04N19/436 , H04N19/70 , H04N19/82 , H04N19/124 , H04N19/132 , H04N19/157
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.
-
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.
-
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.
-
公开(公告)号：US20240048775A1
公开(公告)日：2024-02-08
申请号：US18488782
申请日：2023-10-17
Applicant: Lemon Inc.
IPC: H04N19/85 , H04N19/107 , H04N19/124 , H04N19/174 , H04N19/176 , H04N19/184 , H04N19/573 , H04N19/96 , G06N3/04
CPC classification number: H04N19/85 , H04N19/107 , H04N19/124 , H04N19/174 , H04N19/176 , H04N19/184 , H04N19/573 , H04N19/96 , G06N3/04
Abstract: Methods, systems, apparatus for media processing are described. One example method of digital media processing includes determining, for a conversion between visual media data and a bitstream of the visual media data, how to apply one or more convolutional neural network filters to at least some samples of a video unit of the visual media data according to a rule; and performing the conversion based on the determining.
-
公开(公告)号：US20220394240A1
公开(公告)日：2022-12-08
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
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.
-
-
-
-
-
-
-
-
-
Search Results
30
records
(took 0.019 seconds)
