Wavelet-Atom Video Coding With Embedded Motion
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Solution Overview
Problem
Existing digital video compression techniques struggle to balance visual fidelity with efficient transmission and storage, particularly in wireless networks and digital satellite services, where resourceful generation and conveyance of motion information is lacking.
Innovation Solution
The implementation of Matching Pursuits (MP) processes combined with precision-limited quantization (PLQ) and MERGE coding to compress video data, incorporating wavelet transformation and motion compensation to associate motion information with atoms, allowing for efficient compression and scalable bit rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional digital video compression techniques are used, then transmission and storage efficiency is improved, but visual fidelity deteriorates
Solution Approach 1:
The patent segments the video data into atoms using wavelet transformation, breaking down the complex video signal into discrete components that can be independently processed and transmitted. This segmentation allows for selective compression of different frequency components, maintaining visual fidelity while improving transmission efficiency.
Solution Approach 2:
The patent applies precision-limited quantization (PLQ) that changes the representation parameters of wavelet coefficients by limiting the precision to specific levels. This parameter change enables efficient compression while preserving critical visual information, resolving the contradiction between transmission efficiency and visual fidelity.
2Productivity
If more motion information is transmitted to improve compression efficiency, then transmission bandwidth requirement increases
Solution Approach 1:
The patent merges motion information with the wavelet transform coefficients by embedding motion data into the atom representations. This merging allows motion information to be conveyed efficiently alongside spatial and temporal frequency data, improving compression efficiency without proportionally increasing transmission bandwidth requirements.
Solution Approach 2:
The atom representations serve multiple functions simultaneously: they encode spatial frequency information, temporal frequency information, and motion information. This multi-functionality reduces the total amount of data needed for transmission while maintaining compression efficiency.
3Quantity of substance
If higher compression levels are applied to reduce data quantity, then visual quality deteriorates
Solution Approach 1:
The patent applies different compression levels to different frequency components and spatial regions. Important high-frequency components that contribute significantly to visual quality are preserved with higher precision, while less important components are compressed more aggressively. This local quality approach reduces overall data quantity while maintaining visual quality where it matters most.
Data Source
AI summary
Implementations related to coding and/or decoding image data employing video coding with embedded motion are disclosed.