Image Classification for Photo Album Template Selection
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Solution Overview
Problem
Operators face a heavy burden when selecting images to be inserted into image insertion areas in templates for generating photo albums, especially for events like weddings, due to the large number of images obtained during such events.
Innovation Solution
An image editing apparatus and method that classifies images chronologically into scenes based on their proportion using an event table and page-scene table, generating correspondence information to facilitate easy selection of images for insertion, reducing operator workload by displaying only relevant images for the selected page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If hundreds of images are obtained from event photography, then the completeness of event documentation is improved, but the operator's burden in selecting images increases
Solution Approach 1:
The patent segments the large set of event images into multiple scenes based on temporal and thematic criteria. Each scene is further divided into page groups corresponding to template pages, allowing operators to navigate and select images systematically rather than overwhelming them with hundreds of unorganized images at once.
Solution Approach 2:
The system performs preliminary classification of images into scenes and page groups before the operator needs to select them. This pre-organization of images according to event timeline and template requirements reduces the selection burden by presenting only relevant images for each page.
2Loss of information
If images are classified into scenes based on proportion, then the relevance of displayed images is improved, but the system complexity increases
Solution Approach 1:
The patent uses proportional parameters to classify images into scenes. By calculating the proportion of images belonging to each scene based on event timeline or thematic criteria, the system automatically determines scene boundaries and assigns images to appropriate pages, reducing manual classification effort while maintaining relevance.
3Manufacturing precision
If correspondence information is generated between scenes and template pages, then the accuracy of image placement is improved, but the processing time increases
Solution Approach 1:
The system generates correspondence information between scenes and template pages in advance during the image classification process. This pre-established mapping allows for rapid image selection and placement during the actual photo album creation, reducing overall processing time while maintaining placement accuracy.
Data Source
AI summary
When a photo album is generated of an event such as wedding, images to be inserted in image insertion areas in a template can be selected easily. A professional photographer photographs the bride and groom on the day of wedding, and obtains image data sets. An editing screen has a catalog display field and a template display field. The image data sets are classified into scenes in the event, and correspondence information representing correspondence between the scenes in the event, the classified image data sets, and pages in the template is generated with reference to a table relating the scenes to the pages. A catalog of the image data sets classified into the scene corresponding to a specified one of the pages is displayed in the editing screen with reference to the correspondence information.