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

VSEngineering 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

Engineering Contradiction:
Improvemedia data sizeVSAvoidvisual perception quality
Core Design Contradiction:
Quantity of substanceVSManufacturing precision

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.

Inventive Principle:
Principle #3Local quality

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.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If comprehensive psychovisual compression processing is implemented, then perceptual quality is maintained, but processing complexity increases

Engineering Contradiction:
Improveperceptual qualityVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

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.

Inventive Principle:
Principle #10Preliminary action

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.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of information

If original media is sent to website browser, then complete information is delivered, but delivery time increases

Engineering Contradiction:
Improveinformation completenessVSAvoiddelivery time
Core Design Contradiction:
Loss of informationVSLoss of time

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.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12407834B2Systems for reducing media data size while maintaining perceptual quality
Publication Date: 2025.09.02 SPEEDSIZE LTD
  • US12407834B2 patent drawing
  • US12407834B2 patent drawing
  • US12407834B2 patent drawing

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.