Psychovisual Media Compression With Feature-Preserving Resizing
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Solution Overview
Problem
Existing methods for reducing media data size while maintaining perceptual quality rely on traditional compression techniques that often result in a loss of media quality, particularly in visual perception, and lack comprehensive solutions that utilize psychovisual compression metrics and global content delivery networks.
Innovation Solution
A method involving psychovisual compression metrics and a trained neural network to identify psychologically important features, generating resized media that preserves these features, and utilizing a global content delivery network for faster delivery, ensuring perceptual quality is maintained while reducing data size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional compression techniques are used to reduce media data size, then file size is reduced, but visual perception quality deteriorates
Solution Approach 1:
The patent applies psychovisual compression metrics to identify and preserve psychologically important features (such as faces, text, and key objects) while applying higher compression to less important regions. This local differentiation allows the system to maintain visual perception quality in critical areas while achieving overall data size reduction.
Solution Approach 2:
The system dynamically adjusts compression parameters based on the identified psychologically important features. By changing compression strength, format, and quality parameters selectively across different regions and features of the media, the system optimizes the balance between file size reduction and visual quality preservation.
2Manufacturing precision
If comprehensive psychovisual compression processing is implemented, then perceptual quality is maintained, but processing complexity increases
Solution Approach 1:
The system performs preliminary analysis of the media to identify psychologically important features before applying compression. By pre-processing the media to detect faces, text, and key objects, the system can then apply optimized compression parameters without requiring complex real-time processing during delivery.
Solution Approach 2:
The patent introduces psychovisual compression metrics as an intermediary layer between the original media and the compression algorithm. These metrics serve as a bridge that guides the compression process, automatically identifying important features and translating them into compression parameter adjustments, thereby simplifying the overall processing complexity.
3Loss of information
If original media is sent to website browser, then complete information is delivered, but delivery time increases
Solution Approach 1:
The system extracts and preserves only the psychologically important features of the media while removing redundant or less perceptible data. By taking out and retaining only the essential visual information (such as key objects, text, and faces), the system reduces the amount of data that needs to be transmitted while maintaining the information that matters most to the user.
Data Source
AI summary
Systems for processing digital media data to reduce the size while maintaining a target perceptual quality. A device may receive an original media for processing to a target Psychovisual Compression Index (PVCI). A device may determine a plurality of Psychovisual Compression (PVC) metrics for the original media. A device may process the original media using a trained neural network to identify psychologically important features of the original media using the plurality of PVC metrics. A device may generate a resized media based on the plurality of PVC metrics and the psychologically important features of the original media, the resized media comprising the psychologically important features of the original media and being a smaller data size compared with the original media. A device may determine a Psychovisual Compression Index (PVCI) for the resized media. A device may compare the resized media to a threshold of the target PVCI.


