JACIII Vol.16 No.6 pp. 713-722
doi: 10.20965/jaciii.2012.p0713


An Evaluation Strategy for Visual Key Image Retrieval on Mobile Devices

Kazushi Okamoto*1, Kazuhiko Kawamoto*1,*2, Fangyan Dong*3,
Shinichi Yoshida*4, and Kaoru Hirota*3

*1Academic Link Center, Chiba University

*2Institute of Media and Information Technology, Chiba University, 1-33 Yayoicho, Inage-ku, Chiba 263-8522, Japan

*3Dept. of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

*4School of Information, Kochi University of Technology, 185 Tosayamada-cho-Miyanokuchi, Kochi 782-8502, Japan

February 20, 2012
June 20, 2012
September 20, 2012
image retrieval, retrieval accuracy, indexing, clustering, visual feature

An evaluation strategy for visual key image retrieval systems is proposed in order to show the design criteria of a querying interface on mobile devices. Indexes (lists of visual keys) generated by different number of visual keys and visual features are validated using Art-Explosion 600,000, which contains about 300 semantic categories and over 100,000 natural photos. The result suggests that access to a collection with a visual key can provide a relevant image in rank 10 and 4 relevant images in rank 20 when the number of visual keys is 60, which is the lower limit. In portable devices, which display 16 visual keys per page, users can at least access a required image by browsing only 4 pages with 60 visual keys, and can use the image for related subsequent queries by using the other image retrieval functions.

Cite this article as:
Kazushi Okamoto, Kazuhiko Kawamoto, Fangyan Dong,
Shinichi Yoshida, and Kaoru Hirota, “An Evaluation Strategy for Visual Key Image Retrieval on Mobile Devices,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.6, pp. 713-722, 2012.
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