Image Reproduction Order Optimization via Scene Recognition
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Solution Overview
Problem
In existing image processing systems, images that pass evaluation criteria are reproduced in chronological order, which is not advantageous for subjects with minimal motion, making it difficult for users to instantly determine the most preferable image, especially in group or ceremonial photographs.
Innovation Solution
An electronic camera and image processing device that includes an evaluating section, a recognizing section, and a determining section to assess and optimize the reproduction order of images based on the characteristics of the subject, such as motion and evaluation scores, allowing for non-chronological ordering to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are reproduced in chronological order, then the reproduction process is simple and systematic, but users cannot instantly judge the most preferable image when the subject has minimal motion
Solution Approach 1:
The system performs preliminary scene recognition and motion analysis on all images before reproduction. By pre-identifying subjects with minimal motion and pre-determining the optimal reproduction order, the system eliminates the need for users to manually compare images sequentially, thus resolving the contradiction between simple reproduction process and fast image selection.
2Adaptability or versatility
If chronological ordering is used for all images, then the system is universally applicable and simple to implement, but it does not optimize user experience for specific scene types
Solution Approach 1:
The system applies different reproduction ordering strategies to different local groups of images based on their scene characteristics. By performing scene recognition to identify whether subjects have minimal motion or continuous motion, the system locally optimizes the reproduction order for each group rather than applying a uniform chronological order to all images, thus achieving adaptability without excessive complexity.
Data Source
AI summary
There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.