Escape Mode Code Resizing for Adaptive Video Slice Coding
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Solution Overview
Problem
Existing video compression and decompression techniques lack adaptivity in setting escape mode code sizes, leading to inefficiencies when dealing with varying patterns of run and level values within frames or fields, especially during scene transitions or when handling different types of content within a single frame.
Innovation Solution
Implementing a method to resize escape mode codes on a sub-frame basis, such as per-field or per-slice, to adapt to specific patterns of run and level values, allowing for more efficient coding and decoding by using variable code sizes for each interlaced video field or slice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed escape mode code sizes are used for all frames, then device complexity is reduced and ease of operation is improved, but coding efficiency deteriorates due to inability to adapt to varying run and level value patterns
Solution Approach 1:
The patent implements dynamic escape mode code sizes that adapt to the statistical characteristics of run and level values in different video content regions. Instead of fixed code sizes, the system dynamically determines optimal code sizes based on local patterns, allowing the coding scheme to adapt to varying content characteristics while maintaining manageable complexity through systematic adaptation mechanisms
2Adaptability or versatility
If larger escape mode codes are used to cover all possible run and level values, then adaptability is improved, but bit consumption increases reducing compression efficiency
Solution Approach 1:
The patent applies local quality by determining escape mode code sizes based on local statistical characteristics of run and level values within specific video regions or frames. This allows the system to use smaller code sizes where run and level values are limited in range, while using larger code sizes only where necessary to cover broader value ranges, thereby optimizing bit consumption through localized adaptation rather than uniform code sizing
Solution Approach 2:
The system changes the parameter of code size based on the statistical distribution of run and level values. By analyzing the actual value ranges present in the video content and adjusting code sizes accordingly, the system minimizes bit consumption while maintaining the ability to represent all necessary values, achieving optimal compression efficiency
3Productivity
If escape mode codes are resized on a per-field or per-slice basis, then coding efficiency is improved through better adaptivity, but device complexity increases due to additional code size signaling and management
Solution Approach 1:
The patent segments the video frame into smaller units such as fields or slices, and applies independent escape mode code size determination to each segment. This segmentation allows the system to capture local statistical variations more effectively, improving coding efficiency by adapting to region-specific patterns while managing complexity through a systematic segmented approach rather than frame-wide uniformity
Data Source
AI summary
Techniques and tools for escape mode code resizing are described. For example, a video decoder receives encoded information (e.g., runs, levels) for transform coefficients of blocks. For at least some of the encoded information, the decoder decodes in an escape mode for which codes have sizes signaled on a sub-frame basis (e.g., on a per-interlaced field basis in a video frame, or on a per-slice basis in a video frame). A video encoder performs corresponding encoding and signaling.