Adaptive Video Transform Selection for High-Resolution Coding
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Solution Overview
Problem
Conventional video compression techniques lack efficiency in encoding high-resolution and high-definition videos, necessitating improved transform techniques for better encoding performance.
Innovation Solution
The method and device utilize various transform types at the transform or inverse transform steps of the encoder and decoder, selectively determining inverse transform types, omitting certain transforms based on transform types, and performing weighted inverse quantization to enhance encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video compression techniques are used, then encoding simplicity is maintained, but encoding efficiency for high-resolution and high-definition videos deteriorates
Solution Approach 1:
The patent applies dynamics by making the transform technique selectable and adaptable rather than fixed. The encoding system dynamically chooses between first and second inverse transform techniques based on video content characteristics, allowing the transform method to adapt to different encoding scenarios and improve overall encoding efficiency for high-resolution videos
Solution Approach 2:
The patent changes the parameter of transform type selection by introducing multiple inverse transform techniques with different characteristics. The encoding system varies the transform parameter (which technique to use) based on content analysis, thereby optimizing encoding performance for different video segments without requiring a completely complex system redesign
2Productivity
If multiple inverse transform types are selectively used, then encoding efficiency is improved, but transform selection complexity increases
Solution Approach 1:
The encoding system applies self-service by automatically selecting the appropriate inverse transform technique based on video content characteristics without requiring manual intervention. The system serves itself by analyzing the content and making intelligent transform type selections, thereby improving encoding efficiency while maintaining ease of operation through automated decision-making
Data Source
AI summary
The present invention relates to a method and a device for decoding an image, which improve encoding and decoding efficiency by performing various forms of transform and inverse transform during transform and inverse transform processes of a video coding technique.