Paper Abstract and Keywords |
Presentation |
2020-11-20 09:00
[Poster Presentation]
Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size Naoya Nakajima, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2020-30 EMM2020-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The image taken with a digital comera is usually JPEG-compressed when saved. On the other hand, the tampered image is carried out 2 or more compression because JPEG compression is carried out after the manipulation again. Its feature appears as the distortion in the DCT coefficient by the difference in the quantization tables. In the conventional research, multiple pairs of frequencies suitable for distortion detection were selected, and a histogram was extracted as a feature component for each DCT coefficient value of each pair. We trained a convolutional neural network (CNN) with multiple histograms as inputs, but the target image was in relatively large block units. In this study, we analyze the deterioration of detection accuracy caused by reducing the block size. Because a classification in the block size as small as possible is effective to identify the tampared area, check the items to be adjusted in the CNN model and their appropriate parameter values so that they can be detected with a small block size while suppressing the decrease in accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
double JPEG compression / quality factor / quantization table / histogram / convolutional neural network / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 242, EMM2020-45, pp. 48-53, Nov. 2020. |
Paper # |
EMM2020-45 |
Date of Issue |
2020-11-13 (EA, 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 |
EA2020-30 EMM2020-45 |
Conference Information |
Committee |
EA ASJ-H EMM |
Conference Date |
2020-11-20 - 2020-11-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
[Beginners Session] Engineering/Electro Acoustics, Content Processing, Digital Watermarking, Psychological and Physiological Acoustics, and Related Topics |
Paper Information |
Registration To |
EMM |
Conference Code |
2020-11-EA-H-EMM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size |
Sub Title (in English) |
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Keyword(1) |
double JPEG compression |
Keyword(2) |
quality factor |
Keyword(3) |
quantization table |
Keyword(4) |
histogram |
Keyword(5) |
convolutional neural network |
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1st Author's Name |
Naoya Nakajima |
1st Author's Affiliation |
Okayama University (Okayama Univ.) |
2nd Author's Name |
Minoru Kuribayashi |
2nd Author's Affiliation |
Okayama University (Okayama Univ.) |
3rd Author's Name |
Nobuo Funabiki |
3rd Author's Affiliation |
Okayama University (Okayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-11-20 09:00:00 |
Presentation Time |
120 minutes |
Registration for |
EMM |
Paper # |
EA2020-30, EMM2020-45 |
Volume (vol) |
vol.120 |
Number (no) |
no.241(EA), no.242(EMM) |
Page |
pp.48-53 |
#Pages |
6 |
Date of Issue |
2020-11-13 (EA, EMM) |
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