Memory bandwidth constrained template-based operations
By introducing template-based decoding constraints and adaptive merge candidate reordering at the video block level, the determination process of motion vector prediction candidates is optimized, and the problem of inefficient video decoding under the constraints of memory bandwidth is solved, and more efficient Video block decoding.
Patent Information
- Application Number
- CN202380039410.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2022-04-08
- Filing Date
- 2023-04-07
- Publication Date
- 2024-12-31
AI Technical Summary
Existing video decoding systems are difficult to efficiently perform template-based operations under the constraints of memory bandwidth, especially in the determination and merging of motion vector prediction (MVP) candidates, resulting in inefficiency.
The validity of MVP candidates is determined by introducing template-based coding constraints, such as region constraints and reference picture constraints, and performing adaptive merge candidate reordering (ARMC) to optimize memory bandwidth usage and correct motion vectors by introducing template-based coding constraints, such as region constraints and reference picture constraints, and to perform adaptive merge candidate reordering (ARMC). Candidate subsets to improve decoding efficiency.
It effectively reduces the memory bandwidth requirement, improves the decoding efficiency of video blocks, reduces template costs, and improves the performance of video decoding and encoding processes.
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