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Paper Abstract and Keywords
Presentation 2020-09-02 15:30
Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification
Mai Uchida, Yoichi Tomioka (UoA) PRMU2020-13
Abstract (in Japanese) (See Japanese page) 
(in English) In order to prevent crimes such as illegal uploading and secret photography, a method to identify the camera that captured the digital images by using the pattern noise of the camera is attracting attention. In order to identify camera models, recently, a highly accurate camera model classification method based on convolutional neural networks (CNNs) has been proposed. Pattern noise in the image is contaminated by JPEG compression, and the degree of contamination depends on the quality factor (Q-Factor) at the time of compression. Therefore, it could be that JPEG compression of different Q-factors from that of training samples degenerate the accuracy for CNN-based camera model classification. In this paper, we analyze the robustness of the CNN-based approach that are trained with softmax and triplet loss functions to different Q-Factor. We also report the effect of training using a mixed data set consisting of JPEG images of multiple quality factors for each loss function.
Keyword (in Japanese) (See Japanese page) 
(in English) camera model classification / triplet loss / JPEG compression / convolutional neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 154, PRMU2020-13, pp. 35-40, Sept. 2020.
Paper # PRMU2020-13 
Date of Issue 2020-08-26 (PRMU) 
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 PRMU2020-13

Conference Information
Committee PRMU  
Conference Date 2020-09-02 - 2020-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-modal, Cross-modal 
Paper Information
Registration To PRMU 
Conference Code 2020-09-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification 
Sub Title (in English)  
Keyword(1) camera model classification  
Keyword(2) triplet loss  
Keyword(3) JPEG compression  
Keyword(4) convolutional neural network  
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1st Author's Name Mai Uchida  
1st Author's Affiliation University of Aizu (UoA)
2nd Author's Name Yoichi Tomioka  
2nd Author's Affiliation University of Aizu (UoA)
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Speaker Author-1 
Date Time 2020-09-02 15:30:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-13 
Volume (vol) vol.120 
Number (no) no.154 
Page pp.35-40 
#Pages 6 
Date of Issue 2020-08-26 (PRMU) 

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