Paper Abstract and Keywords |
Presentation |
2019-03-14 09:55
A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply applying the watermarking technique to Internet images requires large amount calculation for the extraction of the embedded information. To solve the problem, we have proposed a fast two-stage search method for digital watermarked images in Internet. In the searching from Internet, the watermarked images are sometimes transformed by an image processing. Therefore, we have introduced the countermeasures of the transformations, such as scaling, rotation, image compression, and luminance correction, to our search method. In this paper, we propose an image search method for cropped watermarked image searching. In the cropped image searching, the target image is retrieved based on the similarity of corner feature points after selection by the inclusion ratio of the pixel value histogram. We evaluated the performance of our proposed method by computer simulations, and show the processing time is decreased to about 1.4% of the block matching based method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Digital watermarked image / Cropped image search / Corner feature point / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 501, IE2018-111, pp. 25-29, March 2019. |
Paper # |
IE2018-111 |
Date of Issue |
2019-03-07 (IMQ, IE, 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) |
Download PDF |
IMQ2018-27 IE2018-111 MVE2018-58 |
Conference Information |
Committee |
IMQ IE MVE CQ |
Conference Date |
2019-03-14 - 2019-03-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kagoshima University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
media of five senses, multimedia, media experience, picture codinge, image media quality, network,quality and reliability, etc |
Paper Information |
Registration To |
IE |
Conference Code |
2019-03-IMQ-IE-MVE-CQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image |
Sub Title (in English) |
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Keyword(1) |
Digital watermarked image |
Keyword(2) |
Cropped image search |
Keyword(3) |
Corner feature point |
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1st Author's Name |
Kouki Ikeda |
1st Author's Affiliation |
Kanazawa University (Kanazawa Univ.) |
2nd Author's Name |
Kousuke Imamura |
2nd Author's Affiliation |
Kanazawa University (Kanazawa Univ.) |
3rd Author's Name |
Hideo Kuroda |
3rd Author's Affiliation |
Nagasaki University (Nagasaki Univ.) |
4th Author's Name |
Makoto Fujimura |
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Nagasaki University (Nagasaki Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-03-14 09:55:00 |
Presentation Time |
25 minutes |
Registration for |
IE |
Paper # |
IMQ2018-27, IE2018-111, MVE2018-58 |
Volume (vol) |
vol.118 |
Number (no) |
no.500(IMQ), no.501(IE), no.502(MVE) |
Page |
pp.25-29 |
#Pages |
5 |
Date of Issue |
2019-03-07 (IMQ, IE, MVE) |
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