Image Tag Ranking via User Assignment Ratios
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Solution Overview
Problem
Conventional image processing systems cannot rank images based on the importance of objects within them, including both person and non-person objects, leading to an inability to prioritize images effectively in automatic layouts.
Innovation Solution
An image processing system that includes an image analyzer, a tag information assignor, a first assignment ratio calculator, a second assignment ratio calculator, and a tag ranking determiner, which calculates and compares assignment ratios of tag information across multiple users to rank objects in an image based on their importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional automatic layout function is used, then image selection is automated, but object importance ranking is not performed
Solution Approach 1:
The patent segments the image analysis process into distinct components: person detection, object detection, and tag assignment. Each component handles specific aspects of image content analysis independently, allowing the system to capture both person and object information separately before integrating them for comprehensive image ranking.
Solution Approach 2:
The patent introduces tag information as an intermediary element that bridges the gap between image content and importance ranking. Tags are assigned to both persons and objects based on image analysis results, and these tags serve as the foundation for calculating image importance scores in the automatic layout process.
2Measurement precision
If only person detection is performed, then person photography quality can be assessed, but non-person objects cannot be ranked
Solution Approach 1:
The patent creates a universal tag assignment system that handles both persons and non-person objects through the same processing pipeline. The image analysis unit detects various types of subjects, and the tag information assignment unit assigns appropriate tags to all detected entities, enabling the system to rank images based on both person and object importance using consistent methodology.
3Quantity of substance
If tag information is assigned to all images, then comprehensive object coverage is achieved, but processing complexity increases
Solution Approach 1:
The patent performs tag information assignment as a preliminary step before the automatic layout process. By pre-analyzing images and assigning tags in advance, the system prepares importance ranking data ahead of time, which simplifies the subsequent layout generation process and reduces real-time processing complexity.
Data Source
AI summary
In the image processing device, the image processing method and the recording medium, the image analyzer carries out image analysis on an image. The tag information assignor assigns the image with tag information corresponding to objects present in the image based on the result of the image analysis. The first assignment ratio calculator calculates an assignment ratio of common tag information assigned to images owned by users as the first assignment ratio. The second assignment ratio calculator calculates an assignment ratio of the common tag information assigned to images owned by each user as the second assignment ratio. And the tag ranking determiner ranks the common tag information assigned to images owned by the user based on the difference between the first assignment ratio and the second assignment ratio of the common tag information.