Arithmetic Decoding Context Index Derivation for Coding Efficiency
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Solution Overview
Problem
Current moving image coding and decoding processes related to transform coefficients are complex, leading to insufficient coding efficiency.
Innovation Solution
An arithmetic decoding device and image decoding apparatus that simplify processes by decoding sub-block coefficient presence/absence flags and deriving context indexes based on the presence of non-zero transform coefficients in adjacent sub-blocks, optimizing context index derivation patterns according to the occurrence probability of transform coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional context index derivation methods are used, then coding processes can be performed, but the processes become complex and coding efficiency is insufficient
Solution Approach 1:
The transform block is divided into multiple sub-blocks, and context indexes are derived separately for each sub-block based on local coefficient patterns. This segmentation allows the decoding process to handle smaller, more manageable units with localized characteristics, improving coding efficiency while maintaining manageable complexity through structured subdivision.
Solution Approach 2:
Different context index derivation patterns are applied to different sub-blocks based on their local coefficient distribution characteristics. The method adapts the context model locally by examining non-zero coefficient patterns in adjacent sub-blocks and selecting appropriate derivation patterns, thereby improving coding efficiency through localized optimization rather than uniform processing.
2Measurement precision
If context indexes are frequently changed to adapt to different coefficient patterns, then coding accuracy improves, but hardware complexity increases
Solution Approach 1:
The context index derivation is made dynamic by selecting different derivation patterns based on the detected coefficient patterns in adjacent sub-blocks. The system adapts the context model dynamically during decoding by examining local characteristics and adjusting the derivation approach, achieving high coding accuracy while managing hardware complexity through rule-based adaptation rather than complex real-time computation.
Data Source
AI summary
There is provided a terminal device capable of efficiently performing communication in a communication system in which a base station device and the terminal device communicate with each other. The terminal device that communicates with the base station device by using a plurality of aggregated cells recognizes that a serving cell is stopped in a first state, recognizes that the serving cell is started in a second state, and switches from the first state to the second state based on a received PDCCH.