Video Coding Context Model Initialization for Efficiency
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Solution Overview
Problem
Conventional video coding techniques have low coding efficiency, which is undesirable for digital video applications.
Innovation Solution
A method for video processing that determines at least one context model associated with a current video block based on initiation information included in the bitstream, and performs the conversion using this context model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding techniques are used, then the video can be encoded and decoded, but the coding efficiency is very low
Solution Approach 1:
The patent applies preliminary action by initializing context models before the actual video coding process. Specific context models are initialized with predetermined values before encoding/decoding operations, enabling more efficient probability estimation during the coding process. This preliminary initialization of context models with appropriate probability values directly improves coding efficiency while maintaining reliability
Solution Approach 2:
The patent changes parameters by dynamically adjusting context model probabilities based on encoded/decoded data. The context models use probability values that are updated according to the actual video data statistics, allowing the system to adapt to different coding scenarios. This parameter adjustment enables better coding efficiency without sacrificing reliability
2Productivity
If context models are initialized with initiation information from bitstream, then coding effectiveness and efficiency are improved, but device complexity increases
Solution Approach 1:
The patent extracts the context model initialization information from the bitstream and uses it separately during the coding process. By taking out the initiation information and using it to initialize context models before the main coding operations, the system simplifies the overall process flow while maintaining improved coding efficiency. This extraction approach reduces the complexity of integrating initialization into the coding pipeline
Solution Approach 2:
The patent introduces context models as intermediary structures that bridge the initiation information and the actual coding operations. These intermediary context models serve as a mediator between the bitstream initialization data and the encoding/decoding processes, simplifying the interaction between different system components and reducing overall device complexity
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, for a conversion between a current video block of a video and a bitstream of the video, at least one context model associated with the current video block based on initiation information of the at least one context model, the initiation information of the at least one context model being included in the bitstream; and performing the conversion based on the at least one context model.