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Paper Abstract and Keywords
Presentation 2022-03-07 15:55
[Poster Presentation] Video Forgery Detection Using a Robust Hashing Algorithm
Shoko Niwa, Miki Tanaka, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-102
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a method to detect the editing of video signals using a robust hashing algorithm. The assumed editing processes are insertion, deletion, replacement, and reordering of frames. Video signals are generally compressed or resized in social network services, so we do not consider these edits are malicious, and the proposed method does not detect them. In accordance with the above detection conditions, the robust hash method of Li et al., which was proposed as an image retrieval method and was confirmed to be effective in detecting tampering with still images, is applied to video signals. The proposed method allows us not only to detect video tampering with high accuracy but to also reduce the number of hash values by synthesizing an ``extended frame'' from multiple frames. In addition, we propose a method to improve the tampering detection rate by permutating frames in each ``extended frame''.
Keyword (in Japanese) (See Japanese page) 
(in English) video forgery / robust / video manipulation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 417, EMM2021-102, pp. 58-63, March 2022.
Paper # EMM2021-102 
Date of Issue 2022-02-28 (EMM) 
ISSN 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 EMM2021-102

Conference Information
Committee EMM  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) (Primary: Online, Secondary: On-site) 
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 2022-03-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Video Forgery Detection Using a Robust Hashing Algorithm 
Sub Title (in English)  
Keyword(1) video forgery  
Keyword(2) robust  
Keyword(3) video manipulation  
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1st Author's Name Shoko Niwa  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
2nd Author's Name Miki Tanaka  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
3rd Author's Name Hitoshi Kiya  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metro. Univ.)
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Speaker Author-1 
Date Time 2022-03-07 15:55:00 
Presentation Time 15 minutes 
Registration for EMM 
Paper # EMM2021-102 
Volume (vol) vol.121 
Number (no) no.417 
Page pp.58-63 
#Pages
Date of Issue 2022-02-28 (EMM) 


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