Pixel Domain Video Quantizer for Bandwidth Management
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Solution Overview
Problem
Existing digital data quantization systems are too slow and computationally expensive for certain applications, particularly in video data streaming, where they fail to efficiently manage bandwidth and quality variations.
Innovation Solution
A novel quantizer architecture that avoids motion estimation and discrete cosine transform (DCT) domain processing, using two inverse DCT functions and performing motion compensation in the pixel domain, along with adjustable video quantization to achieve variable bit rate streaming without excessive storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional quantization systems are used, then quantization accuracy is maintained, but processing speed decreases and computational cost increases
Solution Approach 1:
The patent changes the domain parameter from DCT (frequency domain) to pixel domain (spatial domain), and changes the motion compensation parameter from full block matching to gradient-based optical flow. This parameter transformation resolves the contradiction by achieving comparable quantization accuracy with significantly reduced computational complexity and faster processing speed.
Solution Approach 2:
The patent substitutes the traditional DCT-based mechanical transformation system with a gradient-based optical flow system in the pixel domain. This substitution replaces computationally intensive DCT operations with simpler gradient calculations, maintaining quantization quality while dramatically improving processing speed and reducing computational cost.
2Measurement precision
If traditional quantization systems are used, then quantization accuracy is maintained, but computational cost increases
Solution Approach 1:
The patent transforms the quantization parameter domain from DCT coefficients to pixel domain values, and changes the motion estimation parameter from exhaustive block matching to gradient-based optical flow. This parameter change reduces computational cost by avoiding expensive DCT operations while preserving quantization accuracy through direct pixel-domain processing.
Solution Approach 2:
The patent extracts and eliminates the DCT transformation step from the traditional quantization pipeline, directly operating in the pixel domain. This extraction removes the computationally expensive DCT computation while maintaining essential quantization functionality, thereby reducing overall computational cost and energy consumption.
3Adaptability or versatility
If variable bit rate streaming is implemented, then bandwidth management improves, but storage requirements increase
Solution Approach 1:
The patent implements dynamic quantization in the pixel domain that adapts to regional importance and bandwidth conditions. By using gradient-based optical flow for motion compensation and allowing dynamic adjustment of quantization parameters without requiring multiple pre-encoded versions, the system achieves flexible bandwidth management while avoiding the storage overhead of storing multiple bitrate versions.
Data Source
AI summary
A quantizer and method are disclosed.