Paper Abstract and Keywords |
Presentation |
2010-02-15 16:15
A note on an accurate video retrieval method based on Web community extraction
-- Introduction of clustering method using similarity between features of video materials -- Yasutaka Hatakeyama, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro Nati Coll. of Tech.), Miki Haseyama (Hokkaido Univ.) ITS2009-59 IE2009-153 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes an accurate retrieval method based on Web community
extraction introducing clustering of video materials using their similarities.
In the proposed method, on the basis of
visual and audio features of video materials and
textual features obtained from Web pages including them,
link relationship are weighted by similarities between their features.
Next, by applying link analysis to the weighted link relationships,
Web communities containing video materials whose topics are similar to
each other can be extracted. Furthermore, the video materials which belong to
a same Web community are clustered based on similarities between their
features. Then, in the proposed method, users can effectively retrieve
video materials which are similar to desired video materials using
their features. Consequently, the proposed method enables users to
effectively retrieve the video materials whose topics and
features are similar to each other. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Web community extraction / link analysis / video retrieval / clustering / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 415, IE2009-153, pp. 129-132, Feb. 2010. |
Paper # |
IE2009-153 |
Date of Issue |
2010-02-08 (ITS, IE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ITS2009-59 IE2009-153 |
Conference Information |
Committee |
ITE-AIT IE ITE-HI ITE-ME ITS |
Conference Date |
2010-02-15 - 2010-02-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Graduate School of Information and Technology, Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
IE |
Conference Code |
2010-02-AIT-IE-HI-ME-ITS |
Language |
Japanese |
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 Web community extraction |
Sub Title (in English) |
Introduction of clustering method using similarity between features of video materials |
Keyword(1) |
Web community extraction |
Keyword(2) |
link analysis |
Keyword(3) |
video retrieval |
Keyword(4) |
clustering |
Keyword(5) |
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1st Author's Name |
Yasutaka Hatakeyama |
1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
2nd Author's Name |
Takahiro Ogawa |
2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
3rd Author's Name |
Satoshi Asamizu |
3rd Author's Affiliation |
Kushiro National College of Technology (Kushiro Nati Coll. of Tech.) |
4th Author's Name |
Miki Haseyama |
4th Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2010-02-15 16:15:00 |
Presentation Time |
25 minutes |
Registration for |
IE |
Paper # |
ITS2009-59, IE2009-153 |
Volume (vol) |
vol.109 |
Number (no) |
no.414(ITS), no.415(IE) |
Page |
pp.129-132 |
#Pages |
4 |
Date of Issue |
2010-02-08 (ITS, IE) |
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