Eye-Closure Image Filtering for Easier Event Collection Browsing
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Solution Overview
Problem
Creating an image collection of an event is cumbersome for camera operators due to the need to select and edit numerous images, and viewers find it troublesome to browse large numbers of photos, especially in the excitement following an event like a wedding.
Innovation Solution
An information processing device with a user interface that allows selective archiving, filtering, and image analysis to assist in creating an image collection, including features like swipe operations for archiving, undo instructions, and filtering based on eye closure or device metadata, enhancing the efficiency of image selection and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a large number of photos are taken at an event, then the image collection becomes more comprehensive and valuable, but the workload for selecting and editing images increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically analyzing images for eye closure states and pre-selecting candidate images before the final selection process. The image analysis unit processes images in advance to identify those meeting specific criteria (eye closure detection), creating a pre-sorted list that reduces the manual selection workload during the event.
Solution Approach 2:
The system enables self-service by allowing participants to automatically have their images analyzed and selected based on predetermined criteria (eye closure detection). The automated selection process serves the participants without requiring manual intervention from camera operators or editors, thereby reducing workload while maintaining comprehensive image collection.
2Quantity of substance
If all captured images are provided to participants, then the completeness of the image collection is maintained, but the ease of browsing and viewing images deteriorates
Solution Approach 1:
The system segments the large collection of captured images into distinct categories based on eye closure detection. Images are divided into 'eye closure' and 'non-eye closure' segments, allowing participants to easily navigate and select from organized groups rather than browsing a disorganized mass of images. This segmentation maintains completeness while significantly improving browsing convenience.
Solution Approach 2:
The system applies local quality by providing different viewing experiences for different image segments. Participants can selectively view eye closure images or non-eye closure images based on their interests, with each segment having optimized display and selection characteristics. This localized approach maintains overall completeness while improving ease of operation for specific image types.
3Manufacturing precision
If manual selection of images is performed, then the quality of the image collection is improved, but the time required for image collection creation increases
Solution Approach 1:
The image analysis unit performs preliminary automated analysis to identify eye closure images and create candidate selections before manual review. This pre-processing filters and organizes images in advance, reducing the time manual selection would otherwise require while maintaining high quality through the structured analysis framework.
Solution Approach 2:
The system incorporates feedback mechanisms where the automated eye closure detection provides immediate results that can be reviewed and adjusted. The feedback loop allows camera operators to verify automated selections and make corrections, maintaining quality precision while the automated feedback reduces the overall time compared to purely manual selection processes.
Data Source
AI summary
An information processing device performs: processing of executing list display and individual display as display in which an image can be selected from an image group captured in a specific event, and processing of detecting an archive operation on the image displayed; and processing of storing archive information indicating that an archive setting has been performed in association with the image targeted for the archive operation.