Image Evaluation Apparatus Using Photographer Likelihood for Importance Calculation
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Solution Overview
Problem
Existing image evaluation methods do not accurately account for the photographer of an image, leading to evaluation values that may not reflect the user's intentions, especially when few user operations have been performed, and lack consideration for the person who took the photograph.
Innovation Solution
An image evaluation apparatus that calculates an importance degree for images by determining the photographer and their likelihood degree, using characteristic values and clustering techniques to assess object and photographer relevance, and propagates importance through eigenvector calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If evaluation value is calculated based on user operations (printing, slideshow viewing), then evaluation can be performed using existing conventional methods, but the evaluation value will not be in accordance with user's intentions when no user operations or only limited user operations have been made
Solution Approach 1:
The system performs preliminary actions by automatically determining the photographer of each image and calculating photographer likelihood degrees before user operations occur. This preliminary photographer-based evaluation enables accurate image importance assessment without requiring users to perform multiple operations, thus resolving the contradiction between evaluation accuracy and time loss.
2Measurement precision
If conventional evaluation methods are used that do not consider the photographer, then the evaluation process is simpler, but the evaluation value does not reflect the user's intentions accurately
Solution Approach 1:
The photographer serves as an intermediary element that bridges the gap between simple conventional evaluation methods and accurate user intention reflection. By introducing photographer determination and likelihood degree calculation as intermediate steps, the system achieves high evaluation accuracy while maintaining relatively simple system complexity, as the photographer information can be extracted from existing image metadata.
3Measurement precision
If photographer determination is performed to improve evaluation accuracy, then more accurate image evaluation is achieved, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically determining photographers and calculating likelihood degrees without requiring user intervention. The photographer extraction unit automatically identifies photographers from image metadata, and the evaluation unit automatically incorporates this information into importance degree calculations, thereby achieving high photographer determination accuracy while minimizing the perceived complexity for users.
Data Source
AI summary
An image evaluation apparatus is provided, which calculates a characteristic value indicating a state of appearance of objects corresponding to person a and person b appearing in image A and an object corresponding to person b appearing in image B. Subsequently, the image evaluation apparatus specifies person b′ as the photographer of image B and calculates a likelihood degree indicating accuracy of the determination. Further, the image evaluation apparatus calculates an importance degree of each of images A and B according to the characteristic values of person a and person b appearing in image A and image B and the likelihood degree of the photographer of image B.