Combiner Processing System for Video Bit-Rate Reduction
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Solution Overview
Problem
Current video compression systems face challenges in efficiently reducing bit rates for high-definition video transmissions while maintaining high image quality, as they often focus on mathematical comparisons rather than visible quality retention, leading to potential image degradation during transmission over networks.
Innovation Solution
A novel combiner processing system and bit-rate reduction unit that detect and process repeat patterns, edges, busyness, and computer-generated information, such as texts, using non-linear quantization to selectively reduce bit rates without degrading image quality, allowing for efficient bit-rate reduction while retaining high-frequency details and textual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional video compression systems use mathematical comparisons for bit-rate reduction, then bit rate is reduced, but visible video quality deteriorates
Solution Approach 1:
The patent applies local quality by differentiating between main layer data (containing essential visual information) and support layer data (containing less critical information). The support layer is selectively reduced or discarded based on human perception characteristics, while the main layer is preserved to maintain visible quality. This allows bit-rate reduction without proportionally degrading perceived video quality.
Solution Approach 2:
The patent changes the parameter of information prioritization by using human visual system characteristics to weight different types of video information. Instead of uniform mathematical compression, the system identifies and preserves visually critical information (edges, textures, motion) while reducing or removing less critical data, thereby achieving better quality-retention trade-offs.
2Manufacturing precision
If video data is transmitted at high bit rates to maintain quality, then visible video quality is maintained, but bandwidth consumption increases
Solution Approach 1:
The patent applies discarding and recovering by selectively removing support layer data during encoding (discarding) and reconstructing it at the receiver using available main layer information and human visual system models (recovering). This allows significant bandwidth reduction while maintaining perceptual quality, as the discarded support layer information can be approximated or recovered without substantial visual degradation.
3Ease of manufacture
If uniform compression is applied to all video data, then processing is simple, but important visual details are lost
Solution Approach 1:
The patent applies segmentation by dividing video data into distinct layers: main layer containing essential visual information and support layer containing supplementary information. This segmentation enables differential processing where the main layer receives robust protection and the support layer undergoes aggressive compression or selective removal, thereby preserving critical visual details while simplifying overall processing through structured organization.
Data Source
AI summary
A combiner processing system and a method of operating the combiner processing system are disclosed. In one embodiment, the combiner processing system is utilized for a support layer processing in a bit-rate reduction system that separates video data into a main layer and a support layer with separated encodings for the two layers for bit-rate reduction and data transmission efficiency. Preferably, the combiner processing system for the support layer processing is capable of processing repeat patterns, small high frequency details, and textual information contained in one or more images. Furthermore, in one embodiment, the combiner processing system for the support layer processing provides a motion vector detection on a full image reconstruction, a non-linear quantization which retains both textual information and small high frequency details, utilization of full combination motion vectors, and a separate processing path for textual information with an internal bit-rate reduction unit.