Block-Level Bit-Depth Prediction for Video Coding Efficiency
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently compressing and decompressing video sequences due to the large data size, particularly in handling diverse content types such as natural scenes and screen content, which require improved block partitioning and prediction techniques to reduce redundancy and enhance coding efficiency.
Innovation Solution
The implementation of adaptive block-level bit-depth prediction techniques, including quadtree+multi-type tree partitioning and advanced intra and inter prediction methods, allows for more efficient video encoding and decoding by reducing redundant information and optimizing block partitioning based on content homogeneity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniform bit-depth is applied to all blocks, then encoding simplicity is maintained, but coding efficiency deteriorates due to inability to adapt to different content regions
Solution Approach 1:
The video sequence is divided into multiple blocks, and each block is independently assigned a bit-depth value based on its content characteristics. This segmentation allows different bit-depths to be applied to different regions, improving adaptability while maintaining manageable encoding complexity through systematic block-level processing.
Solution Approach 2:
Different bit-depth values are assigned to different blocks based on local content requirements. Natural scene blocks receive higher bit-depths for quality, while screen content blocks use lower bit-depths for efficiency. This local optimization resolves the contradiction by making bit-depth adaptive to local needs without requiring global complexity.
2Manufacturing precision
If high bit-depth is used for all blocks, then video quality is improved, but bitrate increases significantly
Solution Approach 1:
The bit-depth parameter is dynamically changed for each block based on content type classification. Natural scene blocks use higher bit-depths (e.g., 10-bit) for superior quality, while screen content blocks use lower bit-depths (e.g., 8-bit) to reduce bitrate. This parameter adaptation resolves the contradiction by optimizing the quality-bitrate trade-off locally.
Solution Approach 2:
High bit-depth is applied only where necessary (natural scenes requiring quality), rather than excessively to all blocks. This partial application of high bit-depth maintains video quality where needed while avoiding unnecessary bitrate increase in screen content regions.
3Quantity of substance
If low bit-depth is used for all blocks, then bitrate is reduced, but video quality deteriorates
Solution Approach 1:
The bit-depth parameter is adaptively adjusted based on content classification. Screen content blocks use lower bit-depths for bitrate efficiency, while natural scene blocks use higher bit-depths to preserve video quality. This selective parameter change resolves the contradiction by applying low bit-depth only where it doesn't harm quality.
4Measurement precision
If fine block partitioning is applied, then coding precision is improved, but device complexity increases
Solution Approach 1:
The video sequence is segmented into blocks of various sizes using quadtree and multi-type tree partitioning structures. This hierarchical segmentation allows fine partitioning where needed for precision while using coarser partitions elsewhere to manage complexity. The systematic segmentation approach balances precision and complexity.
Solution Approach 2:
The block partitioning structure is made dynamic, allowing the encoder to select from multiple partitioning modes (quadtree, multi-type tree) and block sizes based on content characteristics. This dynamic adaptation enables fine partitioning for precision when needed while using simpler partitions to reduce complexity in other regions.
Data Source
AI summary
A decoder receives, from a bitstream, a first indication of a first bit depth for a sequence of frames, and a second indication of a second bit depth for a block in a frame of the sequence of frames, a residual block of samples of the second bit depth, and a prediction parameter. The decoder determines a first decoded block of samples of the second bit depth based on the second bit depth indicated by the second indication, the residual block of samples, and the prediction parameter. The decoder converts, based on a difference between the first bit depth and the second bit depth, the first decoded block of samples to a second decoded block of samples of the first bit depth based on the first decoded block of samples of the second bit depth and the first indication of the first bit depth for the sequence.