Dynamic Transrating System for Multimedia Storage Optimization
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Solution Overview
Problem
Current multimedia storage solutions face a trade-off between content quality and storage space, either reducing quality indiscriminately to save space or limiting data storage capacity, lacking an efficient method to balance both.
Innovation Solution
A dynamic transrating system that modifies multimedia content based on rule sets associated with content characteristics, adjusting bit rates and applying rules to reduce data size while maintaining quality, particularly by identifying program types and storage capacity constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of stationary object
If content quality is reduced indiscriminately to save space, then storage space is improved, but content quality deteriorates
Solution Approach 1:
The patent applies different quality levels to different portions of multimedia content based on their importance. Critical content (such as faces, hands, and key action areas) maintains high quality, while less important background areas are compressed more aggressively. This local differentiation allows the system to achieve better storage efficiency without uniformly degrading content quality.
Solution Approach 2:
The system segments the multimedia content into multiple regions or frames and processes each segment independently with different quality parameters. By analyzing the importance of each segment, the system can apply selective compression that optimizes the balance between storage space and content quality for each segment.
2Manufacturing precision
If content quality is retained to maintain precision, then content quality is improved, but storage space and device capacity are limited
Solution Approach 1:
The system dynamically changes compression parameters based on content characteristics, scene complexity, and available storage capacity. By adjusting quality parameters adaptively rather than using fixed settings, the system can maximize storage efficiency while maintaining acceptable quality levels for the specific content being processed.
Solution Approach 2:
The patent implements dynamic quality adjustment that responds to changing content conditions. The system continuously analyzes content characteristics and adjusts compression parameters in real-time, allowing the system to optimize the quality-storage trade-off dynamically based on the specific multimedia content and storage constraints.
3Productivity
If multimedia data is processed to reduce bit rate, then storage efficiency is improved, but content quality may be affected
Solution Approach 1:
The system incorporates feedback mechanisms that monitor content quality metrics during the compression process. By continuously evaluating the compressed output and comparing it against quality thresholds, the system can adjust compression parameters to maintain minimum quality standards while maximizing storage efficiency.
Solution Approach 2:
The patent replaces traditional uniform compression approaches with intelligent content-aware compression that uses machine learning and content analysis. This substitution of the compression mechanism allows for more efficient bit rate reduction while preserving perceptually important content characteristics.
Data Source
AI summary
A multimedia program type of a received multimedia data is determined. Based on the determined multimedia program type, a peak bit rate limit and/or an average bit rate limit are determined. In instances where a transrated version of the multimedia data is to be stored, a remaining storage capacity of a storage device is determined and the peak bit rate limit and/or the average bit rate limit can be adjusted based on the remaining storage capacity. The multimedia data then is transrated to generate transrated multimedia data that has a peak bit rate that does not exceed the selected peak bit rate limit and/or having an average bit rate that does not exceed the selected average bit rate limit. The transrating of the multimedia additionally can include the application of rule sets based on content characteristics. After transrating, the multimedia data can be transmitted via a network to a destination multimedia device, stored locally for subsequent use, or a combination thereof.