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Paper Abstract and Keywords
Presentation 2016-03-02 14:30
[Poster Presentation] Video Forgery Detection Using a Time Series Model in Dynamic Scenes
Shigeki Karita (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2015-80
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a robust video forgery detection method in dynamic scenes such as dynamic background or camera jitter.
Most existing methods only focus on static scenes,
which are capable of background subtraction.
Therefore it is difficult to predict the forgery in dynamic scenes.
The novelty of our proposed method is adaptability to dynamic scenes
by using DeepFlow, C3D feature and Recurrent Neural Network as a time series model.
Our best system achieved Area-Under-Curve (AUC) 0.738 and Equal-Error-Rate (EER) 0.315,
whereas the previous method did AUC 0.522 and EER 0.486 on our Forged--CDnet2014 dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) Dynamic scene / Video forgery detection / Forged--CDnet2014 / CDnet2014 / RNN-LSTM / DeepFlow / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 479, EMM2015-80, pp. 25-30, March 2016.
Paper # EMM2015-80 
Date of Issue 2016-02-24 (EMM) 
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 EMM2015-80

Conference Information
Committee EMM  
Conference Date 2016-03-02 - 2016-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Environ. and Cultural Vill. Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image and Sound Quality, Metrics for Perception and Recognition, Human Auditory and Visual System, etc. 
Paper Information
Registration To EMM 
Conference Code 2016-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Video Forgery Detection Using a Time Series Model in Dynamic Scenes 
Sub Title (in English)  
Keyword(1) Dynamic scene  
Keyword(2) Video forgery detection  
Keyword(3) Forged--CDnet2014  
Keyword(4) CDnet2014  
Keyword(5) RNN-LSTM  
Keyword(6) DeepFlow  
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Keyword(8)  
1st Author's Name Shigeki Karita  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Kazuhiro Kono  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Noboru Babaguchi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2016-03-02 14:30:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # EMM2015-80 
Volume (vol) vol.115 
Number (no) no.479 
Page pp.25-30 
#Pages 6 
Date of Issue 2016-02-24 (EMM) 

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