ITE Transactions on Media Technology and Applications
Online ISSN : 2186-7364
ISSN-L : 2186-7364
Regular Section
[Paper] Novel Evaluation Criterion for Visualization of Image Search Results Based on Feature Integration Theory
Katsuki KobayashiTakahiro OgawaMiki Haseyama
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2013 Volume 1 Issue 4 Pages 333-342

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Abstract

This paper presents a new evaluation criterion for visualization of image search results based on the feature integration theory. This criterion is derived by combining two elements, visual saliency on visualization and grouping degree of similar images. Visual saliency, which is calculated from the feature integration theory, on visualization of image search results enables representation of users' attention, which is closely related to the effectiveness of finding images. Furthermore, since users perceive similar images that are close to each other as one group, grouping degree of similar images enables evaluation of the effectiveness when users find images similar to a desired image. Therefore, by combining visual saliency on visualization and grouping degree of similar images, we can derive the novel criterion and evaluate the effectiveness of visualization of image search results.

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© 2013 The Institute of Image Information and Television Engineers
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