Embedded Motion Video Coding for Compression Without Quality Loss
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Solution Overview
Problem
Existing digital video compression techniques struggle to balance visual fidelity with efficient compression levels, particularly in transmitting and storing digital video content over wireless networks and the internet.
Innovation Solution
The use of Matching Pursuits (MP) processes combined with precision-limited quantization (PLQ) and MERGE coding to compress video data, incorporating motion compensation and wavelet transformation to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional digital video compression techniques are used, then transmission and storage efficiency is improved, but visual fidelity deteriorates
Solution Approach 1:
The video signal is segmented into multiple atoms through matching pursuits decomposition, where each atom represents a localized spatio-temporal feature. This segmentation allows selective encoding of important visual features while compressing less significant components, thereby maintaining visual fidelity while improving compression efficiency
Solution Approach 2:
The patent transforms video data from traditional spatial-temporal domain representation to an atomic basis representation using matching pursuits. This parameter transformation enables more efficient encoding by representing video content in terms of localized atoms with associated coefficients, achieving better compression while preserving visual quality
2Quantity of substance
If compression levels are increased to improve transmission efficiency, then data quantity is reduced, but visual quality deteriorates
Solution Approach 1:
The matching pursuits algorithm extracts dominant atoms from video frames that capture the most significant visual information. By identifying and separately encoding these prominent atoms with higher precision while using coarser representation for less significant components, the system reduces overall data quantity while maintaining visual quality
Solution Approach 2:
The patent applies different encoding precision to different atoms based on their visual importance. Atoms with larger coefficients or those representing significant motion/texture features are encoded with higher precision, while less important atoms use lower precision encoding, achieving efficient compression without uniform quality loss
Data Source
AI summary
Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.