Invention Publication
- Patent Title: Unified Neural Network Filter Model
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Application No.: US18487350Application Date: 2023-10-16
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Publication No.: US20240056570A1Publication Date: 2024-02-15
- Inventor: Yue Li , Li Zhang , Kai Zhang , Junru Li , Meng Wang , Siwei Ma , Shiqi Wang
- Applicant: Beijing Bytedance Network Technology Co., Ltd. , Bytedance Inc. , BYTEDANCE (HK) LIMITED
- Applicant Address: CN CA Beijing
- Assignee: Beijing Bytedance Network Technology Co., Ltd.,Bytedance Inc.,BYTEDANCE (HK) LIMITED
- Current Assignee: Beijing Bytedance Network Technology Co., Ltd.,Bytedance Inc.,BYTEDANCE (HK) LIMITED
- Current Assignee Address: CN CA Beijing
- Priority: WO TCN2021087228 2021.04.14
- Main IPC: H04N19/117
- IPC: H04N19/117 ; G06T9/00 ; H04N19/186 ; H04N19/82

Abstract:
A method implemented by a video coding apparatus. The method includes applying a first filter to an unfiltered sample of a video unit to generate a filtered sample. The first filter is a neural network (NN) filter based on a non-deep learning-based filter (NDLF) being disabled, and the first filter is the NDLF based on the NN filter being disabled. The method also includes performing a conversion between a video media file and a bitstream based on the filtered sample that was generated.
Public/Granted literature
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