Hybrid Video Quality Evaluation Using Bit Stream Parameters
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Solution Overview
Problem
Existing video quality evaluation methods are limited by requiring decoded video data for quality measurement, leading to restricted application areas and prolonged processing times, especially in digital broadcasting where channel capacity and encoding bit rate affect video quality.
Innovation Solution
A hybrid video quality evaluation apparatus that extracts first and second evaluation parameters from bit stream data to calculate preliminary and final video quality scores, using prediction functions and adjustments with edge peak signal to noise ratio (EPSNR), allowing rapid evaluation before decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video quality evaluation is performed using decoded video data, then measurement accuracy is improved, but processing time increases and application area is restricted
Solution Approach 1:
The patent extracts evaluation parameters from the bit stream data before video decoding occurs. By performing parameter extraction on the compressed bit stream rather than on decoded video data, the system achieves rapid quality assessment without waiting for the time-consuming decoding process, thus resolving the contradiction between measurement accuracy and processing time
Solution Approach 2:
The patent extracts specific evaluation parameters (such as quantization parameters, motion compensation parameters, and other quality-affecting parameters) directly from the bit stream data without requiring full video decoding. This extraction approach enables quality assessment to be performed on compressed data, eliminating the time penalty associated with decoding while maintaining measurement capability
2Measurement precision
If full-reference method is used to compute similarity between source and processed video sequences, then video quality measurement accuracy is improved, but application area is restricted due to requirement of source video sequence
Solution Approach 1:
The patent focuses on extracting specific local quality parameters from the bit stream data that are most indicative of video quality (such as quantization parameters, motion estimation parameters, and other encoding-related parameters). By concentrating on these critical local parameters rather than requiring complete source video sequences, the system maintains measurement accuracy while significantly expanding applicability to scenarios where source video is unavailable
Solution Approach 2:
The patent uses bit stream data as an intermediary representation that contains sufficient quality information without requiring the actual source video sequence. This intermediary approach allows quality assessment to be performed using only the encoded data, bridging the gap between full-reference accuracy and reduced-reference versatility
Data Source
AI summary
The present invention provides an apparatus for evaluating video quality based on a hybrid type which, when bit stream data is received, extracts first evaluation parameters based on the received bit stream data to calculate a preliminary video quality score based on the first extracted evaluation parameters and then extracts second evaluation parameters, and calculates a final video quality score by adjusting the preliminary video quality score based on the second extracted evaluation parameters and methods thereof.