Video Block Transform Selection for High-Resolution Compression
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Solution Overview
Problem
Existing video signal encoding/decoding methods are inefficient in handling high-resolution and high-quality images, leading to increased data transmission and storage costs, and lack adaptive transform type determination for video signals.
Innovation Solution
A method and apparatus for encoding/decoding video signals that adaptively determine the transform type of a current block among multiple candidates, allowing separate determination of horizontal and vertical transforms based on block characteristics and prediction modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is transmitted or stored using conventional methods, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent applies parameter changes by transforming image data from spatial domain to frequency domain using transform techniques (DCT, DST, KLT). This transformation changes the representation parameters of the data, allowing energy compaction where most information is concentrated in fewer coefficients, thereby reducing the amount of data needed to represent high-quality images while maintaining image quality
Solution Approach 2:
The patent implements local quality by applying different transform types (DCT, DST, KLT) to different blocks or regions of the image based on local characteristics such as prediction mode, block size, and content properties. This allows optimal compression efficiency to be achieved in each local region while maintaining overall image quality
2Productivity
If conventional transform methods are used for video encoding, then encoding process is simple, but compression efficiency is insufficient for high-resolution videos
Solution Approach 1:
The patent implements dynamics by making the transform type selection adaptive and variable based on multiple factors including prediction mode, block size, and content characteristics. The encoder dynamically selects from multiple transform type candidates (DCT, DST, KLT) rather than using a fixed transform method, allowing the system to adapt to different video content and resolution requirements while maintaining manageable complexity through structured selection criteria
Data Source
AI summary
A method for decoding a video according to the present invention may comprise: deriving a spatial merge candidate for a current block, generating a merge candidate list for the current block based on the spatial merge candidate, obtaining motion information for the current block based on the merge candidate list, and performing motion compensation for the current block based on the motion information. Herein, if the current block does not have a pre-defined shape or a size equal to or greater than a pre-defined size, the spatial merge candidate of the current block may be derived based on a block which have the pre-defined shape or a size equal to or greater than the pre-defined size, the block including the current block.


