Video Transform Coefficient Coding With Adaptive Rice Lookup Tables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, such as 4K and 8K Ultra High Definition, along with the rise of virtual and augmented reality content, necessitates a more efficient compression technique to reduce transmission and storage costs.
Innovation Solution
A method and apparatus for enhancing video/image coding efficiency by improving residual coding efficiency through the use of Rice parameter lookup tables for transform coefficients, specifically deriving a Rice parameter and bin string to enhance level coding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution and high quality image/video (4K, 8K, VR, AR) are transmitted or stored using existing wired/wireless broadband lines or legacy storage media, then image quality and resolution are improved, but transmission and storage costs are increased
Solution Approach 1:
The patent extracts and transmits only the residual information (difference between original and predicted image data) rather than the complete high-resolution image data. This selective extraction of essential information reduces the amount of data requiring transmission and storage while maintaining image quality reconstruction capability.
Solution Approach 2:
The patent transforms image data into transform coefficients through mathematical transformation, changing the representation parameters from spatial domain pixel values to frequency domain coefficients. This parameter transformation enables more efficient compression and transmission of high-resolution image data.
2Manufacturing precision
If high resolution and high quality image/video (4K, 8K, VR, AR) are transmitted or stored using existing wired/wireless broadband lines or legacy storage media, then image quality and resolution are improved, but transmission and storage costs are increased
Solution Approach 1:
The patent extracts and transmits only the residual information (difference between original and predicted image data) rather than the complete high-resolution image data. This selective extraction of essential information reduces the amount of data requiring transmission and storage while maintaining image quality reconstruction capability.
Solution Approach 2:
The patent transmits partial information (residual coefficients) rather than complete image data. By transmitting only the necessary residual information needed for reconstruction and allowing the receiver to generate prediction data locally, the system reduces overall data transmission volume.
3Productivity
If conventional residual coding methods are used for transform coefficients, then coding process is simple, but residual coding efficiency is insufficient
Solution Approach 1:
The patent dynamically adapts the Rice parameter selection based on the statistical characteristics of transform coefficients. Instead of using a fixed coding approach, the system adjusts coding parameters according to the actual data distribution, improving coding efficiency while managing complexity through adaptive rather than static methods.
Solution Approach 2:
The patent transforms image data into transform coefficients through mathematical transformation, changing the representation parameters from spatial domain pixel values to frequency domain coefficients. This parameter transformation enables more efficient compression and transmission of high-resolution image data.
Data Source
AI summary
A video decoding method performed by a decoding apparatus according to the present document may comprise the steps of: obtaining, from a bitstream, information indicating a level value of a transform coefficient in a current block; selecting one Rice parameter look-up table for the information indicating the level value of the transform coefficient, from among a plurality of Rice parameter look-up tables; deriving a Rice parameter for the information indicating the level value of the transform coefficient on the basis of the selected Rice parameter look-up table; deriving a bin string for the information indicating the level value of the transform coefficient on the basis of the Rice parameter; and deriving the level value of the transform coefficient on the basis of the bin string.