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Proceedings Paper

Vector representation of user's view using self-organizing map
Author(s): Tadashi Ae; Tomohisa Yamaguchi; Eri Monden; Shunji Kawabata; Motoki Kamitani
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Paper Abstract

There exist various objects, such as pictures, music, texts, etc., around our environment. We have a view for these objects by looking, reading or listening. Our view is concerned with our behaviors deeply, and is very important to understand our behaviors. Therefore, we propose a method which acquires a view as a vector, and apply the vector to sequence generation. We focus on sequences of the data of which a user selects from a multimedia database containing pictures, music, movie, etc.. These data cannot be stereotyped because user's view for them changes by each user. Therefore, we represent the structure of the multimedia database as the vector representing user's view and the stereotyped vector, and acquire sequences containing the structure as elements. We demonstrate a city-sequence generation system which reflects user's intension as an application of sequence generation containing user's view. We apply the self-organizing map to this system to represent user's view.

Paper Details

Date Published: 28 May 2004
PDF: 11 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.524398
Show Author Affiliations
Tadashi Ae, Hiroshima Univ. (Japan)
Tomohisa Yamaguchi, Hiroshima Univ. (Japan)
Eri Monden, Hiroshima Univ. (Japan)
Shunji Kawabata, Hiroshima Univ. (Japan)
Motoki Kamitani, Hiroshima Univ. (Japan)


Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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