Media Quality Quantification via Compression Artifact Analysis
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Solution Overview
Problem
Existing methods fail to effectively quantify and differentiate the quality of media files, which can vary due to compression artifacts and other factors, affecting user experience and media management.
Innovation Solution
A system and method for analyzing media files to measure audio or visual quality by identifying compression artifacts and grading, generating quantitative data that can be used to rank and manage media files, including real-time quality assessment and metadata integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple copies of media files are stored in different formats, then media content availability and accessibility are improved, but quality differentiation and selection become more difficult
Solution Approach 1:
The patent transforms the qualitative assessment of media quality into quantitative parameters by analyzing compression artifacts and grading metrics. This allows for precise measurement and comparison of quality across different media formats, resolving the contradiction by enabling quality differentiation through parameter-based evaluation.
Solution Approach 2:
The patent replaces subjective human quality assessment with automated computational analysis systems that measure compression artifacts and grading metrics. This substitution enables objective, precise quality measurement across diverse media formats without requiring manual evaluation.
2Ease of operation
If subjective quality assessment is used, then user perception is considered, but objectivity and consistency in quality measurement are lost
Solution Approach 1:
The patent replaces subjective human judgment with automated computational analysis that measures compression artifacts and grading metrics. This maintains objectivity and consistency while still capturing quality attributes that matter to user perception through algorithmic analysis of visual and audio characteristics.
Solution Approach 2:
The patent introduces computational algorithms as an intermediary between subjective user perception and objective measurement. These algorithms translate perceptual quality attributes into quantifiable metrics, bridging the gap between user experience and measurable data.
3Measurement precision
If comprehensive quality analysis is performed on all media files, then quality measurement precision is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs quality analysis selectively rather than comprehensively on all media files. By applying quality measurement to specific files based on user requests or predefined criteria, the system achieves sufficient measurement precision without the excessive processing time and computational resources that would be required for complete analysis.
Solution Approach 2:
The patent pre-calculates and stores quality metrics for media files during ingestion or in advance of user requests. This preliminary action allows for rapid quality comparison and selection at query time without performing comprehensive analysis on the fly, reducing processing time while maintaining measurement accuracy.
Data Source
AI summary
Systems, methods, and computer readable media for media management provide a derived quantitative data of quality for video media files. The method embodiment comprises receiving a request for a video media file, identifying one or more video media files associated with the request, measuring at least one audio or visual quality associated with each video media file by analyzing at least one of: compression artifacts or grading for the each video media file, generating quantitative data based on the measured at least one audio or visual quality for the each video media file, and returning the quantitative data associated with the each video media file. Other features include the ability to compare, archive, filter, sort and select video media files based on the quantitative data.