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| Presentation | 2024-03-13 14:05 Perceptual Hashing Based on CNN Node Responses Yusei Sugawara, Kaito Hosono, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.)  SITE2023-101 IA2023-107 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As technology advances, unauthorized duplication of images has become a serious issue related to copyright infringement. To tackle this challenge, two approaches are considered: one that utilizes the weights and biases of CNN, and another that employing the responses of CNN nodes. In this study, we generate perceptual hashes using responses from various layers of VGG-16, a CNN trained on ImageNet, including intermediate, fully connected, and output layers. In this study, we clarify the effects of selecting different responses on the accuracy and computational costs, which include file size and generation time, and we pinpoint the responses that yield the most favorable balance between these aspects. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Digital Rights Management / Convolutional Neural Network (CNN) / Perceptual Hashing / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 421, SITE2023-101, pp. 203-210, March 2024. | |
| Paper # | SITE2023-101 | |
| Date of Issue | 2024-03-05 (SITE, IA) | |
| 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 | SITE2023-101 IA2023-107 |
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| Conference Information | |
| Committee | IA SITE IPSJ-IOT |
| Conference Date | 2024-03-12 - 2024-03-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyakojima City Future Creation Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet and Information Ethics Education, etc. |
| Paper Information | |
| Registration To | SITE |
| Conference Code | 2024-03-IA-SITE-IOT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Perceptual Hashing Based on CNN Node Responses |
| Sub Title (in English) | |
| Keyword(1) | Digital Rights Management |
| Keyword(2) | Convolutional Neural Network (CNN) |
| Keyword(3) | Perceptual Hashing |
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| 1st Author's Name | Yusei Sugawara |
| 1st Author's Affiliation | Graduate School of Kanagawa University (Kanagawa Univ.) |
| 2nd Author's Name | Kaito Hosono |
| 2nd Author's Affiliation | Kanagawa University (Kanagawa Univ.) |
| 3rd Author's Name | Tetsuya Morizumi |
| 3rd Author's Affiliation | Kanagawa University (Kanagawa Univ.) |
| 4th Author's Name | Hirotsugu Kinoshita |
| 4th Author's Affiliation | Kanagawa University (Kanagawa Univ.) |
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| Speaker | Author-1 |
| Date Time | 2024-03-13 14:05:00 |
| Presentation Time | 25 minutes |
| Registration for | SITE |
| Paper # | SITE2023-101, IA2023-107 |
| Volume (vol) | vol.123 |
| Number (no) | no.421(SITE), no.422(IA) |
| Page | pp.203-210 |
| #Pages | 8 |
| Date of Issue | 2024-03-05 (SITE, IA) |
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