Distributed Image Quality Control for Network Analysis
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Solution Overview
Problem
Existing techniques fail to appropriately perform analysis based on images distributed via a network, particularly when the analysis is difficult or the image quality is insufficient, leading to suboptimal results in both still and moving images.
Innovation Solution
An information processing system that specifies and adjusts the image quality of specific areas within a distributed image based on analysis results, using a specifying unit to determine the necessary image quality and a control unit to manage the distribution accordingly, ensuring optimal image quality for accurate analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If image compression is increased to reduce bandwidth usage, then network transmission efficiency is improved, but image quality deteriorates making analysis difficult
Solution Approach 1:
The patent applies local quality by differentiating image regions into analysis areas and non-analysis areas. The analysis areas (containing objects of interest) are transmitted with high image quality to ensure accurate analysis, while non-analysis areas are transmitted with lower quality or compressed more aggressively. This selective quality approach maintains analysis reliability while reducing overall bandwidth consumption.
Solution Approach 2:
The patent segments the image into multiple regions based on their importance for analysis. By dividing the image into analysis areas (requiring high quality) and non-analysis areas (tolerating lower quality), the system can apply different compression strategies to different segments, optimizing the balance between bandwidth usage and analysis accuracy.
2Measurement precision
If uniform high quality is maintained across the entire image, then analysis accuracy is improved, but network bandwidth consumption increases
Solution Approach 1:
The patent implements local quality by assigning different quality levels to different image regions. Analysis areas receive high quality treatment to ensure measurement precision, while non-analysis areas use lower quality settings. This resolves the contradiction by concentrating data transmission resources only where they are needed for accurate analysis.
Solution Approach 2:
The patent changes the quality parameter selectively across different image regions rather than applying a uniform quality level. By adjusting compression parameters locally based on region importance, the system achieves high analysis accuracy in critical areas while reducing overall data transmission volume.
3Productivity
If image quality is reduced for bandwidth efficiency, then network transmission is optimized, but analysis reliability deteriorates
Solution Approach 1:
The patent ensures analysis reliability by maintaining high image quality specifically in analysis areas while allowing quality reduction in non-critical regions. This local quality differentiation preserves the reliability needed for accurate analysis while achieving bandwidth efficiency through selective compression.
Data Source
AI summary
An information processing system (1) includes: specifying means (12) for specifying, in accordance with an analysis result based on a coded and distributed image, an image quality of an area including a specific part in the distributed image; and control means (13) for performing control for distributing the image in which the image quality of the area including the specific part is the specified image quality.