MOSIR: image and segment-based retrieval for mobile phones

Authors:
Akihiko Nakagawa;Andrea Kutics;Khin Hninn Phyu;Hiroki Sato;Tomoaki Furukawa;Kageyuki Koiduka
Affiliations:
International Christian University, Department of Mathematics and Computer Science, Mitaka, Tokyo, Japan and University of Electro-Communications, Graduate School of Information Systems, Chofu-shi ...;International Christian University, Department of Mathematics and Computer Science, Tokyo, Japan;International Christian University, Department of Mathematics and Computer Science, Tokyo, Japan;Fujisoft Incorporated, Yokohama-shi, Kanagawa, Japan;Lee.Netsolutions Co., Ltd., Tokyo, Japan;Nihon Soft Giken Incorporated, Kunitati-shi,Tokyo, Japan
Venue:
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Year:
2010

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Abstract

This paper proposes a novel image retrieval system called MOSIR, developed for mobile phones. This system enables the user to find similar images and information related to the photos taken with the user's mobile phone at any time. It overcomes the problem originating from small display panels and limited control keys. Similar images are then retrieved by extracting edge-based and color-layout features. Region-based queries are also processed by detecting salient regions and extracting their features. The system uses both self-defined email and web application software to provide flexible image searching, and it overcomes security problems. A new user interface is designed in Flash Lite to display the results in different sizes and contexts. The method provides satisfactory results. This mobile system proved to be useful for finding images and semantically connected information while the user was on the move.