Paper Abstract and Keywords |
Presentation |
2014-01-24 09:10
A BoVW-based similar image Retrieval Supported by Salient Region Zijun Zou, Hisashi Koga (UEC) PRMU2013-110 MVE2013-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The Bag of Visual Words(BoVW) model is prevailing in the area of image retrieval. However, because the BoVW model treats all feature points equally, the importance of the foreground which represents the semantics of an image well is ignored. This paper proposes a new BoVW-based similar image retrieval method paying attention to the similarity of the foreground. Our method assumes that the foreground location in an image can be approximated by its salient region and examines the similarity between the salient regions of two images. Specifically, we divide the given image into the foreground and the background by binarizing its saliency map and extract the foreground feature histogram from the foreground region. Finally, the similarity between a pair of images is calculated by summing up the similarity of the foreground feature histograms and that of the global feature histograms derived from the entire images. Our method is expected to improve the retrieval accuracy, since the foreground similarity is emphasized. The experiment on the Caltech-101 image database shows that the recall is surely improved by our method as compared with the conventional BoVW method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Similar image retrieval / SIFT / Bag of Visual Words / Saliency Map / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 402, PRMU2013-110, pp. 183-188, Jan. 2014. |
Paper # |
PRMU2013-110 |
Date of Issue |
2014-01-16 (PRMU, MVE) |
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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PRMU2013-110 MVE2013-51 |
Conference Information |
Committee |
PRMU IPSJ-CVIM MVE |
Conference Date |
2014-01-23 - 2014-01-24 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2014-01-PRMU-CVIM-MVE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A BoVW-based similar image Retrieval Supported by Salient Region |
Sub Title (in English) |
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Similar image retrieval |
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SIFT |
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Bag of Visual Words |
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Saliency Map |
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1st Author's Name |
Zijun Zou |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Hisashi Koga |
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The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2014-01-24 09:10:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2013-110, MVE2013-51 |
Volume (vol) |
vol.113 |
Number (no) |
no.402(PRMU), no.403(MVE) |
Page |
pp.183-188 |
#Pages |
6 |
Date of Issue |
2014-01-16 (PRMU, MVE) |
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