Image Selection by Period Trend for Varied Photo Product Layouts
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Solution Overview
Problem
Existing image processing systems for creating products like photo books or albums lack the ability to select diverse images over time, resulting in monotonous products with little variation.
Innovation Solution
An image processing apparatus that selects images for product creation by analyzing features and trends across multiple periods, prioritizing images with inconsistent features to introduce variation and using user feedback to adjust layouts and image selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If images with common themes are selected from image groups captured in different periods, then consistency with user preferences is maintained, but product monotony increases and variation decreases
Solution Approach 1:
The system dynamically adjusts the selection criterion between 'common theme' and 'different theme' based on the relationship between periods. For non-continuous periods (e.g., January and March), it selects images with different themes to increase variation. For continuous periods (e.g., January and February), it selects images with common themes to maintain consistency. This dynamic switching resolves the contradiction between reliability and adaptability.
Solution Approach 2:
The system changes the selection parameter (theme consistency) based on the period relationship. When the period difference exceeds a threshold (indicating non-continuous periods), it switches to selecting images with different themes. When the period difference is within the threshold (continuous periods), it selects images with common themes. This parameter change enables the system to adapt to different scenarios and resolve the contradiction.
2Adaptability or versatility
If images with different themes are selected to increase product variation, then user interest is maintained, but consistency with user preferences may be compromised
Solution Approach 1:
The system dynamically determines whether to prioritize variation or consistency based on the period relationship. For non-continuous periods, it prioritizes variation by selecting images with different themes. For continuous periods, it prioritizes consistency by selecting images with common themes. This dynamic decision-making resolves the contradiction between adaptability and reliability.
Solution Approach 2:
The system changes the selection parameter (theme consistency) based on the period relationship. When the period difference exceeds a threshold, it switches to selecting images with different themes to increase variation. When the period difference is within the threshold, it selects images with common themes to maintain consistency. This parameter change enables the system to balance variation and consistency appropriately.
3Measurement precision
If manual selection of material images is performed, then precise control over image choice is achieved, but processing time and operational complexity increase
Solution Approach 1:
The system performs preliminary automatic selection of material images based on the determined criterion (common theme or different theme) before presenting options to the user. This preliminary action filters out unsuitable images and preps a shortlist, significantly reducing the time and effort required for manual selection while maintaining high selection accuracy.
Solution Approach 2:
The system acts as an intermediary between the user's image group and the final product creation. It automatically analyzes images, determines themes, applies selection criteria based on period relationships, and presents recommended material images. This intermediary function bridges the gap between raw images and final products, reducing manual workload while maintaining selection quality.
Data Source
AI summary
Provided are an image processing apparatus, a method, a program, and a recording medium capable of appropriately selecting images for product creation from an image group provided by a user for every period.In an image processing apparatus of the present invention, a processor is configured to acquire a first image group captured in a first period, acquire a second image group captured in a second period different from the first period, specify features on two or more items regarding imaging for first images used in product creation in the first image group and second images included in the second image group, specify a trend of features of the first images used in product creation for the two or more items, and select second images for product creation from the second image group based on features of the second images included in the second image group. The processor is configured to select the second images having a feature inconsistent with the trend for a part of items among the two or more items, as the second images for product creation.