Image Subject Analysis for Photobook Layout Selection
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Solution Overview
Problem
Existing photobook creation systems fail to select appropriate layouts based on the content of images, leading to unsuitable arrangements when images with varying subjects, such as multiple people or single buildings, are used.
Innovation Solution
An information processing apparatus that performs image analysis to determine subject information, including type and composition, and selects corresponding layout information from stored combinations to arrange images appropriately, prioritizing layouts based on subject type and composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic layout selection based on image count is used, then layout selection speed is improved, but layout appropriateness deteriorates
Solution Approach 1:
The system changes the parameters used for layout selection from simple image count to multiple image attributes including subject type (person, animal, plant, vehicle, building, landscape), composition (vertical, horizontal, full), and number of subjects. This allows the layout selection to be more appropriate while still being automatic.
Solution Approach 2:
The system performs preliminary image analysis to extract subject information before layout selection. By pre-processing the images to identify subjects and compositions, the system enables faster and more accurate layout selection without requiring manual intervention during the layout choice phase.
2Manufacturing precision
If manual layout adjustment is allowed, then layout appropriateness is improved, but user effort increases
Solution Approach 1:
The system performs self-service by automatically analyzing images to extract subject information and selecting appropriate layouts without user intervention. The layout selection is automated based on image content analysis, reducing user effort while maintaining layout appropriateness.
Solution Approach 2:
The system uses feedback from image analysis results to automatically adjust and select layouts. By analyzing subject types and compositions, the system receives feedback about image content and automatically chooses layouts that match the content characteristics, eliminating the need for manual adjustment.
3Device complexity
If simple image counting method is used, then system complexity is reduced, but layout precision deteriorates
Solution Approach 1:
The system replaces simple mechanical counting with automated image analysis using computer vision techniques. The processor automatically identifies subjects and compositions in images, substituting manual or simple counting methods with intelligent analysis that provides more precise layout selection.
Solution Approach 2:
The system uses a multi-functional image analysis module that can identify various types of subjects (people, animals, plants, vehicles, buildings, landscapes) and compositions (vertical, horizontal, full) within a single processing framework. This universal approach handles diverse image types without requiring separate systems for each image category.
Data Source
AI summary
An information processing apparatus includes a processor; and a memory storing a program which, when executed by the processor, causes the information processing apparatus to: store a plurality of combinations of associated subject information and layout information in a storage unit, the subject information relating to a subject appearing on an image and the layout information indicating a layout in which the image is to be arranged; perform image analysis on a target image and obtain the subject information relating to the subject appearing on the target image according to a result of the image analysis; select layout information that corresponds to the obtained subject information in relation to the target image from the plurality of layout information stored in the storage unit, and arrange the target image according to the selected layout information, wherein the subject information includes a type of the subject appearing on the image.