Adaptive Video Segmentation for Quantization Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video compression techniques apply uniform quantization levels across frames, failing to adapt to varying visual importance within a frame, leading to suboptimal video quality and increased computational complexity.
Innovation Solution
An adaptive segmentation scheme that allows for efficient transmission of segment-specific quantization levels and loop filter strengths, enabling better video quality by applying lower quantization to important areas and higher to less important areas, while minimizing overhead and computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If uniform quantization levels are applied across frames, then bandwidth consumption is reduced, but video quality deteriorates due to inability to adapt to varying visual importance
Solution Approach 1:
The patent applies different quantization levels to different regions within a frame based on their visual importance. Important regions (e.g., foreground objects, motion areas) receive lower quantization levels for better quality, while less important regions (e.g., background) receive higher quantization levels for better compression. This local differentiation resolves the contradiction by optimizing both quality and bandwidth consumption spatially.
Solution Approach 2:
The patent segments the frame into multiple regions with different visual importance characteristics and applies different quantization parameters to each segment. This segmentation allows the system to allocate bandwidth differently across the frame, improving overall video quality without proportionally increasing total bandwidth consumption.
2Manufacturing precision
If different quantization levels are applied to each macroblock, then video quality is improved, but computational complexity increases
Solution Approach 1:
Instead of applying different quantization levels to every single macroblock, the patent applies different quantization levels to larger regions or selectively to macroblocks that benefit most from differentiated treatment. This partial application reduces computational complexity while still achieving significant quality improvements in critical areas.
3Manufacturing precision
If segment-specific parameters are transmitted, then video quality is improved through adaptive quantization, but overhead increases
Solution Approach 1:
The patent merges the transmission of segment-specific parameters with the existing video data stream by efficiently encoding and integrating quantization parameter information into the bitstream structure. This approach minimizes additional overhead while still conveying the necessary segment-specific information for improved video quality.
Data Source
AI summary
An apparatus for decoding compressed video information may include a memory and a processor configured to execute instructions stored in the memory to receive a compressed video stream including compressed video information, read, from the compressed video information, a segment map associating at least some blocks in a first frame with at least one segment identifier, read, from the compressed video information, a current encoded block, read, from the segment map, a segment identifier that is associated with the current encoded block, read, from the compressed video information, at least one segment parameter associated with the segment identifier that is associated with the current encoded block, generate a current decoded block by decoding the current encoded block using the at least one segment parameter associated with the segment identifier that is associated with the current encoded block, and output the current decoded block for presentation or storage.