Table-Based Weighted Prediction for Lower-Overhead Image/Video Coding
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, particularly in virtual reality and augmented reality applications, has led to a need for more efficient compression techniques to reduce transmission and storage costs while accommodating diverse image/video characteristics.
Innovation Solution
A method and apparatus for enhancing video/image coding efficiency by signaling a prediction weighted syntax table, reducing redundant signaling, and optimizing weighted prediction through parsing flags in bitstreams to reconstruct images using prediction weighted tables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution, high-quality image/video data are transmitted or stored using conventional methods, then image/video quality is maintained, but transmission and storage costs increase significantly
Solution Approach 1:
The patent extracts and removes redundant information from image/video data through advanced compression techniques. By identifying and eliminating duplicate or unnecessary data elements, the system maintains high-quality reconstruction while significantly reducing the amount of data that needs to be transmitted or stored, thereby lowering transmission and storage costs.
Solution Approach 2:
The patent employs a universal compression framework that can handle various types of image/video content (including VR, AR, and immersive media) with different characteristics. This multi-functional approach allows the same compression system to adaptively optimize for different content types, maintaining high quality across diverse applications while efficiently managing transmission and storage resources.
2Loss of energy
If conventional compression techniques are used for high-resolution images/videos, then transmission and storage costs are reduced, but compression efficiency is insufficient for modern applications
Solution Approach 1:
The patent utilizes parameter changes in the transformation domain (specifically in the frequency domain through DCT coefficients) to achieve better compression. By analyzing and encoding transformed coefficients rather than raw pixel data, the system can more efficiently represent image/video content, achieving higher compression ratios while maintaining quality, thus improving compression efficiency for modern high-resolution applications.
3Measurement precision
If detailed prediction weighted table syntax is signaled for every block, then prediction accuracy is improved, but signaling overhead increases
Solution Approach 1:
The patent segments the prediction process by dividing the image/video content into different regions or blocks, where prediction weighted tables are selectively applied. Instead of uniformly applying detailed prediction syntax to every block, the system identifies regions that benefit most from weighted prediction and applies the syntax only there, thereby maintaining prediction accuracy where needed while reducing overall signaling overhead.
Solution Approach 2:
The patent implements local quality by applying prediction weighted tables selectively to specific regions rather than uniformly across the entire image/video. By analyzing local characteristics and applying weighted prediction only where it provides significant benefit, the system maintains high prediction accuracy in critical areas while minimizing signaling overhead in areas where simple prediction suffices.
Data Source
AI summary
A video decoding method executed by a video decoding apparatus according to the present document comprises the steps of: parsing a flag associated with weighted prediction from a bitstream; on the basis of the flag, parsing a prediction weighted table syntax from the bitstream; and on the basis of the prediction weighted table syntax, executing a weighted prediction on a current block in a current picture to reconstruct the current picture, wherein on the basis of the value of the flag being 1, the prediction weighted table syntax may be parsed from a picture header of the bitstream, and on the basis of the value of the flag being 0, the prediction weighted table syntax may be parsed from a slice header of the bitstream.