Video Coding Tile-Slice Hierarchy for Parallel Processing
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Solution Overview
Problem
Current video encoding and decoding technologies face challenges in efficiently representing high-quality digital media for storage, transmission, and playback, particularly due to increasing image quality and resolution requirements, which complicate coding complexity.
Innovation Solution
The implementation of High Efficiency Video Coding (HEVC) standard using block-based coding, Context-Adaptive Binary Arithmetic Coding (CABAC) for entropy coding of Transformed and Quantized Coefficients, and the use of tiles and slices for parallel processing to enhance coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video coding techniques increase image quality and resolution requirements, then coding efficiency is improved, but coding complexity increases
Solution Approach 1:
The patent divides the video picture into multiple tiles, where each tile is further divided into slices. This segmentation allows independent processing and decoding of different regions, reducing the complexity of handling high-resolution video by breaking it down into manageable units that can be processed in parallel.
Solution Approach 2:
The patent introduces a new dimension of organization by adding tile-based segmentation to the traditional slice structure. This creates a two-dimensional hierarchy (tiles containing slices) that enables more flexible and efficient processing of high-resolution video data, allowing complexity to be distributed across multiple dimensions rather than handled sequentially.
2Measurement precision
If video coding techniques increase image quality and resolution requirements, then coding efficiency is improved, but processing time increases
Solution Approach 1:
By segmenting the video into tiles and slices, the patent enables parallel processing of different regions simultaneously. This segmentation strategy reduces processing time for high-quality video encoding and decoding by distributing computational tasks across multiple independent units that can be handled concurrently.
Solution Approach 2:
The patent maintains continuous progress in video processing by enabling overlapping operations across different tiles and slices. Multiple processing operations can proceed simultaneously without waiting for others to complete, ensuring continuous useful action that reduces overall processing time while maintaining high image quality.
3Productivity
If block-based coding is used for video compression, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent applies block-based coding by dividing the video into tiles and slices, creating a hierarchical structure that improves coding efficiency through localized optimization while managing complexity through systematic organization. Each block can be encoded independently, improving productivity while the structured segmentation keeps the complexity manageable.
Data Source
AI summary
A system for decoding a video bitstream includes receiving a frame of the video that includes at least one slice and at least one tile and where each of the at least one slice and the at least one tile are not all aligned with one another.