Paper Abstract and Keywords |
Presentation |
2008-02-19 11:15
Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models Masaya Kato, Mineki Takaya, Junji Maeda (Muroran IT) ITS2007-68 IE2007-251 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the early process of the human vision, it is known that people pay preferential attention to salient objects that have strong brightness and specifical colors. Many researches have been made to achieve this process on a computer. We propose the method to automatically identify perceptually salient objects by using visual attention model based on the early process of the human vision. The proposed method enables to detect prominent objects more accuratery than the conventional methods by combining the improved version of the Itti's model and the Stentiford's model. As a result, the location and the region of salient objects are extracted from the feature maps. The proposed method could be applied to the detection of specific target or image retrieval. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Visual Attention Model / Saliency Map / Visual Attention Map / Region of Interest / Feature Extraction / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 487, ITS2007-68, pp. 33-38, Feb. 2008. |
Paper # |
ITS2007-68 |
Date of Issue |
2008-02-12 (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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ITS2007-68 IE2007-251 |
Conference Information |
Committee |
ITE-HI ITE-AIT ITE-ME IE ITS |
Conference Date |
2008-02-18 - 2008-02-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Graduate School of Information Science and Technology Hokkaido Univ |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processings for ITS, Image Information and Television Engineering, etc. |
Paper Information |
Registration To |
ITS |
Conference Code |
2008-02-HI-CG-ME-IE-ITS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models |
Sub Title (in English) |
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Keyword(1) |
Visual Attention Model |
Keyword(2) |
Saliency Map |
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Visual Attention Map |
Keyword(4) |
Region of Interest |
Keyword(5) |
Feature Extraction |
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1st Author's Name |
Masaya Kato |
1st Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
2nd Author's Name |
Mineki Takaya |
2nd Author's Affiliation |
Muroran Institute of Technology (Muroran IT) |
3rd Author's Name |
Junji Maeda |
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Muroran Institute of Technology (Muroran IT) |
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Speaker |
Author-1 |
Date Time |
2008-02-19 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
ITS |
Paper # |
ITS2007-68, IE2007-251 |
Volume (vol) |
vol.107 |
Number (no) |
no.487(ITS), no.489(IE) |
Page |
pp.33-38 |
#Pages |
6 |
Date of Issue |
2008-02-12 (ITS, IE) |
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