Information Processing System for Customized Image Quality Evaluation

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Solution Overview

Problem

Existing image quality evaluation systems do not effectively incorporate user preferences into their assessments, as they rely on indiscriminate criteria, failing to tailor evaluations to individual user needs.

Innovation Solution

An information processing system that retains weight values for each image quality evaluation item, allowing users to customize these values based on specific criteria, such as job categories and output characteristics, to evaluate image quality in a manner reflective of their preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If image quality evaluation is performed based on indiscriminate criteria, then the evaluation process is simple and fast, but the evaluation results do not reflect user preferences

Engineering Contradiction:
Improveadaptability to user preferencesVSAvoidevaluation system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies local quality by assigning different weight values to different evaluation items based on user preferences. Each evaluation item (e.g., color accuracy, sharpness, noise) is evaluated with a customized weight that reflects its importance to the specific user, rather than applying uniform criteria to all users. This allows the evaluation system to adapt to individual user needs while maintaining a standardized evaluation framework.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements dynamics by making the evaluation criteria adjustable and changeable according to user preferences. The weight values for different evaluation items can be dynamically modified based on user input, device type, or evaluation purpose. This dynamic adjustment capability enables the system to adapt to different scenarios and user needs without requiring a completely different evaluation system for each case.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If standardized evaluation criteria are used for all images, then the evaluation process is efficient and consistent, but it cannot provide personalized evaluation results

Engineering Contradiction:
Improveevaluation accuracy reflecting user needsVSAvoidtime for setting and adjusting weight values
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-configuring weight values for different evaluation items based on common user preferences and device characteristics. Before actual image evaluation, the system prepares sets of weight values that can be quickly selected and applied, eliminating the need for users to manually adjust each weight value from scratch. This preliminary preparation significantly reduces the time required for personalized evaluation while maintaining measurement precision.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements self-service by enabling users to easily adjust weight values according to their own preferences without requiring expert knowledge or extensive configuration. The system provides user-friendly interfaces and default settings that allow users to customize evaluation criteria independently, reducing the time and effort needed for personalization while ensuring accurate reflection of user needs.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250104416A1Information processing system, information processing method, and non-transitory computer readable medium
Publication Date: 2025.03.27 FUJIFILM BUSINESS INNOVATION CORP
  • US20250104416A1 patent drawing
  • US20250104416A1 patent drawing
  • US20250104416A1 patent drawing

AI summary

An information processing system includes at least one processor configured to: cause a storage device to retain weight values for each of one or more evaluation items related to image quality; obtain image data to be evaluated; evaluate the image data for each of the evaluation items based on evaluation criteria for each of the evaluation items; and evaluate the image quality of an image pertaining to the image data on a basis of evaluation results of the evaluation for each of the evaluation items and the corresponding weight values retained in the storage device for each of the evaluation items.