Image Display Control System for Object-Specific Evaluation
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Solution Overview
Problem
Existing image display systems fail to effectively highlight images containing specific objects of high evaluation value, making it difficult for users to find images of interest even when they have high evaluation scores based on brightness and chroma evaluation.
Innovation Solution
An image display control system that includes an object detection device, an evaluation value calculation device, and an image display control device, which detects objects, calculates their evaluation values using different criteria, and highlights images with objects exceeding a threshold value through various display methods such as brightening, framing, or marking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If images are uniformly evaluated based on brightness and chroma of the entire image, then the evaluation process is simple, but specific objects within the image are not evaluated and users cannot easily find images containing objects of interest
Solution Approach 1:
The image is divided into multiple regions, and objects are detected and evaluated within each region rather than evaluating the entire image uniformly. This allows specific objects to be identified and evaluated separately while maintaining a manageable evaluation process.
Solution Approach 2:
Different evaluation criteria are applied to different objects based on their types. Instead of using a uniform evaluation standard for the entire image, the system evaluates each object according to its specific characteristics, thereby preserving object-specific information while keeping the overall evaluation process structured.
2Loss of information
If object detection and individual object evaluation are implemented, then object-specific evaluation is achieved, but the system complexity increases
Solution Approach 1:
The system segments the image into regions and detects objects within each region independently. This segmentation approach allows object-specific evaluation without requiring a completely complex system, as each region can be processed separately with standardized object detection algorithms.
Solution Approach 2:
The system changes evaluation parameters based on object types. Different evaluation criteria are applied to different objects (e.g., evaluating flowers by color and shape, evaluating food by appearance and composition), which allows for sophisticated object-specific evaluation while using standardized parameter change mechanisms.
3Device complexity
If all images are displayed uniformly, then the display process is simple, but users cannot easily distinguish images with high evaluation objects
Solution Approach 1:
The system changes the color or visual appearance of images that contain objects with high evaluation values. By applying color changes or visual highlights to images with desirable objects, users can easily distinguish and select these images without requiring a complex display process.
Solution Approach 2:
The display system applies asymmetric treatment to images based on their evaluation results. Images containing high-evaluation objects are displayed with special highlighting or differentiation, while other images are displayed in the standard manner. This asymmetric display approach improves ease of operation by making desirable images stand out without requiring complete redesign of the display process.
Data Source
AI summary
Provided are an image display control system, an image display control method, and a program that can inform a user of an image including a specific object with a high evaluation value. Each type of object in an image is detected and the evaluation values of the detected objects are calculated using different evaluation criteria for the types of objects. An image including an object of which the calculated evaluation value is equal to or greater than a threshold value is displayed so as to be highlighted.