Image Evaluation Apparatus for Album Composition
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Solution Overview
Problem
Existing technologies fail to effectively arrange images in an album to create a meaningful combination, as they primarily focus on inserting images close to a reference value without considering image combinations.
Innovation Solution
An image evaluation apparatus that evaluates images based on their combinations using a template with frame sets and evaluation factors, selecting and arranging images to maximize an evaluation value for creating a cohesive album.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images are arranged based on individual reference values, then image insertion efficiency is improved, but image combination meaningfulness deteriorates
Solution Approach 1:
The patent merges the evaluation of individual images with the evaluation of image combinations. The evaluation value calculation unit computes evaluation values not only for individual images but also for combinations of multiple images, thereby selecting arrangements that maintain both individual image quality and meaningful combinations between images.
Solution Approach 2:
The patent transitions from evaluating images in one dimension (individual reference value matching) to evaluating images in multiple dimensions (individual image quality plus combination meaningfulness). By introducing combination evaluation as an additional dimension, the system achieves both efficient insertion and meaningful arrangements.
2Loss of information
If multiple images are selected and arranged considering combinations, then image combination meaningfulness is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the evaluation process into distinct functional units: an evaluation value calculation unit that computes evaluation values for images and their combinations, and a selection unit that chooses arrangements based on these values. This segmentation allows the complex calculation task to be divided into manageable steps, reducing overall computational complexity.
Solution Approach 2:
The evaluation value serves as an intermediary that mediates between the complex combination analysis and the final arrangement selection. By computing evaluation values that encapsulate both individual image quality and combination meaningfulness, the system simplifies the selection process to choosing arrangements with the highest evaluation values, thereby reducing computational complexity.
3Ease of operation
If images are arranged in isolated states, then arrangement simplicity is improved, but album coherence deteriorates
Solution Approach 1:
The patent implements feedback by using evaluation values to guide the arrangement selection process. The evaluation value calculation unit provides feedback on the quality of image combinations, and the selection unit uses this feedback to automatically choose arrangements that maximize coherence. This feedback mechanism maintains album coherence while keeping the operation simple and automated.
Data Source
AI summary
A template includes a frame a and a frame b, in each of which an image is to be inserted. An object introduction degree (OI) is associated with a frame set ab, which is a combination of the frames a and b. For a pair of images arranged with respect to the frame set ab, the object introduction degree (OI), which is associated with the frame set ab, is calculated according to a characteristic value of each of the images in the pair of images. The calculated object introduction degree is used as an evaluation value of an arrangement pattern in which the pair of images is arranged with respect to the frame set ab.