Image Editing Apparatus Scene-Based Catalog Organization
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Solution Overview
Problem
Operators face a heavy burden when selecting images for insertion into templates during photo album generation, especially for events like weddings, due to the large number of images that need to be sifted through for appropriate scenes.
Innovation Solution
An image editing apparatus and method that calculates characteristic quantities of images, groups them by scene, and displays them in a catalog order, allowing easy selection of images for insertion into templates, with features like reference-value sequence correction and guide image display to assist in the selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If hundreds of images are obtained by photography on an event such as a wedding, then the photo album can tell a complete story, but the operator is heavily burdened with selection of an image to be inserted in an image insertion area in a template from a catalog including the hundreds of images
Solution Approach 1:
The patent segments the large set of images by calculating characteristic quantities (such as color, brightness, contrast) and grouping images with similar characteristics together. This segmentation transforms an overwhelming collection of hundreds of images into organized categories, making it easier for operators to select appropriate images for specific insertion areas in the template.
Solution Approach 2:
The patent changes the parameter representation of images from raw pixel data to extracted characteristic quantities (color histograms, brightness values, contrast metrics). By transforming images into a standardized parameter space, the system enables automated analysis and organized display, significantly reducing the operator's burden in selecting images that match the desired composition and style.
2Manufacturing precision
If the operator manually selects and edits images for insertion in template areas, then image quality and composition can be optimized, but the processing time and operator burden increase significantly
Solution Approach 1:
The patent performs preliminary actions by automatically calculating characteristic quantities for all images and organizing them into groups before the operator needs to make selections. This pre-processing includes extracting color, brightness, and contrast features, which are then used to suggest appropriate images for each template insertion area, reducing the time required for manual selection and editing while maintaining quality standards.
Solution Approach 2:
The system provides feedback to the operator by displaying images organized according to their characteristic quantities and suggesting matches for specific insertion areas. This feedback mechanism guides the operator's selection process, making it easier to achieve high-quality results without requiring extensive manual editing time, as the system already presents pre-filtered options that match the template requirements.
3Adaptability or versatility
If images are displayed in a random or unorganized catalog, then all images are accessible, but the operator cannot easily find images matching the intended composition and style
Solution Approach 1:
The patent transforms images into a standardized parameter space by calculating characteristic quantities such as color histograms, brightness values, and contrast metrics. Images are then displayed and organized based on these parameters, allowing operators to easily find images matching the intended composition and style. This parameter-based organization maintains selection flexibility while dramatically reducing the difficulty of finding appropriate images.
Solution Approach 2:
The patent specifically utilizes color characteristics as a key organizing parameter, displaying images grouped by their color profiles. This approach allows operators to quickly identify images with the desired color composition and style for different template areas, making the selection process more efficient without limiting the versatility of image choices.
Data Source
AI summary
When a photo album on an event such as wedding is generated, 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 images. Characteristic quantities of scenes represented by the images are calculated, and the images are classified into image groups of the scenes. With reference to a reference-value sequence table describing reference values of the characteristic quantities of the scenes in the event in order of occurrence of the scenes, the image groups are arranged in order of the scene occurrence. A catalog of the images is generated in the same order, and displayed in an editing screen.