Presentation 2009-02-04
A note on an accurate video retrieval method based on features of video materials : Web community extraction using CCA
Yasutaka HATAKEYAMA, Takahiro OGAWA, Satoshi ASAMIZU, Miki HASEYAMA,
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Abstract(in English) An accurate video retrieval method based on features of video materials is presented in this paper. The proposed method applies canonical correlation analysis to features obtained from video materials to enable definetion of similarities between different features in the new variate space. Furthermore, features obtained from the video materials are regarded as Web pages and their adjacency matrix us calculated based on the defined similarities. Then, by applying link analysis to the obtained adjacency matrix, Web community extraction based on features of video materials can be realized. Consequently, the proposed method can achieve accurate result of retrieval based on features of video materials.
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Keyword(in English) video retrieval / canonical correlation analysis / link analysis / Web community extraction
Paper # ITS2008-50,IE2008-220
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Committee ITS
Conference Date 2009/1/28(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A note on an accurate video retrieval method based on features of video materials : Web community extraction using CCA
Sub Title (in English)
Keyword(1) video retrieval
Keyword(2) canonical correlation analysis
Keyword(3) link analysis
Keyword(4) Web community extraction
1st Author's Name Yasutaka HATAKEYAMA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Takahiro OGAWA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Satoshi ASAMIZU
3rd Author's Affiliation Kushiro National College of Technology
4th Author's Name Miki HASEYAMA
4th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2009-02-04
Paper # ITS2008-50,IE2008-220
Volume (vol) vol.108
Number (no) 424
Page pp.pp.-
#Pages 4
Date of Issue