著者

Katsuki Kobayashi Takahiro Ogawa Miki Haseyama

出版者

映像情報メディア学会

雑誌

ITE Transactions on Media Technology and Applications (ISSN:21867364)

巻号頁・発行日

vol.1, no.4, pp.333-342, 2013 (Released:2013-10-01)

参考文献数

24

被引用文献数

5

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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.