Paper Abstract and Keywords |
Presentation |
2013-02-21 11:00
INDIVIDUAL PREFERENCE ANALYSIS WITH SOCIALITY-AWARE TOPIC MODEL FOR PERSONALIZED IMAGE RETRIVAL Kaori Kataoka, Akisato Kimura, Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2012-133 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We proposed a novel method for personalized image retrieval that ranks search results in the order of the individual preference estimated from a collection of images on social curation platforms. Our contributions are two folds: (1) the introduction of a topic model with socially curated image collections as training data, and (2) taking into account the difference of individual preference between objects and backgrounds through visual attention estimation. A collection of socially curated contents is promising to analyze various kinds of multimedia information, since it is a manually filtered, organized and maintained collection of individual interests. This enables us to estimate individual preference without any other side information such as text tags and search logs. Several experiments confirmed our method well modeled user preferences as compared with other existing methods relying only on visual features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Image search / Individual’s preference / Topic model / Saliency map / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-133, pp. 19-24, Feb. 2013. |
Paper # |
PRMU2012-133 |
Date of Issue |
2013-02-14 (PRMU) |
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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PRMU2012-133 |
Conference Information |
Committee |
PRMU |
Conference Date |
2013-02-21 - 2013-02-22 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2013-02-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
INDIVIDUAL PREFERENCE ANALYSIS WITH SOCIALITY-AWARE TOPIC MODEL FOR PERSONALIZED IMAGE RETRIVAL |
Sub Title (in English) |
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Keyword(1) |
Image search |
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Individual’s preference |
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Topic model |
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Saliency map |
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1st Author's Name |
Kaori Kataoka |
1st Author's Affiliation |
NTT Media Intelligence Laboratories (NTT) |
2nd Author's Name |
Akisato Kimura |
2nd Author's Affiliation |
NTT Communication Science Laboratories (NTT) |
3rd Author's Name |
Kazuhiko Murasaki |
3rd Author's Affiliation |
NTT Media Intelligence Laboratories (NTT) |
4th Author's Name |
Kyoko Sudo |
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NTT Media Intelligence Laboratories (NTT) |
5th Author's Name |
Yukinobu Taniguchi |
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NTT Media Intelligence Laboratories (NTT) |
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Speaker |
Author-1 |
Date Time |
2013-02-21 11:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2012-133 |
Volume (vol) |
vol.112 |
Number (no) |
no.441 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2013-02-14 (PRMU) |
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