Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases

Webtoon, a portmanteau of web and cartoon, denotes a cartoon that has been published on a website. Recently, webtoons have become popular in the global Internet market. Unfortunately, the copyright infringement has emerged as a new challenge resulting in illegal profit gains. Moreover, it is difficu...

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Autores principales:	Doyoung Kim, Sang-Hoon Lee, Sagar Jadhav, Hyuck-Joo Kwon, Sanghoon Lee
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Content identification feature extraction fingerprinting inverted indexing MapReduce webtoon Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/4bd90b29e2ce44eeaf0dfe7c3924789d
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id	oai:doaj.org-article:4bd90b29e2ce44eeaf0dfe7c3924789d
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spelling	oai:doaj.org-article:4bd90b29e2ce44eeaf0dfe7c3924789d2021-11-19T00:02:02ZRobust Fingerprinting Method for Webtoon Identification in Large-Scale Databases2169-353610.1109/ACCESS.2018.2845540https://doaj.org/article/4bd90b29e2ce44eeaf0dfe7c3924789d2018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8403906/https://doaj.org/toc/2169-3536Webtoon, a portmanteau of web and cartoon, denotes a cartoon that has been published on a website. Recently, webtoons have become popular in the global Internet market. Unfortunately, the copyright infringement has emerged as a new challenge resulting in illegal profit gains. Moreover, it is difficult to apply watermarking to published webtoons, because they need to be watermarked prior to publication. In order to deal with a large number of published webtoons, it is necessary to identify each webtoon using fingerprints extracted from its webtoon image. In this paper, we propose an identification framework to detect copyright infringement due to the illegal copying and sharing of webtoons. The proposed identification framework consists of the following main stages: fingerprint generation, indexing, and fingerprint matching. In the fingerprint generation stage, the translation invariant and temporally localized fingerprints are created for distortion-robust identification. An inverted indexing of the database is implemented, using the visual word clustering method and the MapReduce framework, to store the fingerprints efficiently and to minimize the searching time. In addition, we propose a two-step matching process for faster implementation. Moreover, we measured the identification accuracy and the matching time of a large-scale database in the presence of various distortions. Through rigorous simulations, we achieved an identification accuracy of 97.5% within 10 s for each webtoon.Doyoung KimSang-Hoon LeeSagar JadhavHyuck-Joo KwonSanghoon LeeIEEEarticleContent identificationfeature extractionfingerprintinginverted indexingMapReducewebtoonElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 6, Pp 37932-37946 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Content identification feature extraction fingerprinting inverted indexing MapReduce webtoon Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Content identification feature extraction fingerprinting inverted indexing MapReduce webtoon Electrical engineering. Electronics. Nuclear engineering TK1-9971 Doyoung Kim Sang-Hoon Lee Sagar Jadhav Hyuck-Joo Kwon Sanghoon Lee Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
description	Webtoon, a portmanteau of web and cartoon, denotes a cartoon that has been published on a website. Recently, webtoons have become popular in the global Internet market. Unfortunately, the copyright infringement has emerged as a new challenge resulting in illegal profit gains. Moreover, it is difficult to apply watermarking to published webtoons, because they need to be watermarked prior to publication. In order to deal with a large number of published webtoons, it is necessary to identify each webtoon using fingerprints extracted from its webtoon image. In this paper, we propose an identification framework to detect copyright infringement due to the illegal copying and sharing of webtoons. The proposed identification framework consists of the following main stages: fingerprint generation, indexing, and fingerprint matching. In the fingerprint generation stage, the translation invariant and temporally localized fingerprints are created for distortion-robust identification. An inverted indexing of the database is implemented, using the visual word clustering method and the MapReduce framework, to store the fingerprints efficiently and to minimize the searching time. In addition, we propose a two-step matching process for faster implementation. Moreover, we measured the identification accuracy and the matching time of a large-scale database in the presence of various distortions. Through rigorous simulations, we achieved an identification accuracy of 97.5% within 10 s for each webtoon.
format	article
author	Doyoung Kim Sang-Hoon Lee Sagar Jadhav Hyuck-Joo Kwon Sanghoon Lee
author_facet	Doyoung Kim Sang-Hoon Lee Sagar Jadhav Hyuck-Joo Kwon Sanghoon Lee
author_sort	Doyoung Kim
title	Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
title_short	Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
title_full	Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
title_fullStr	Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
title_full_unstemmed	Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases
title_sort	robust fingerprinting method for webtoon identification in large-scale databases
publisher	IEEE
publishDate	2018
url	https://doaj.org/article/4bd90b29e2ce44eeaf0dfe7c3924789d
work_keys_str_mv	AT doyoungkim robustfingerprintingmethodforwebtoonidentificationinlargescaledatabases AT sanghoonlee robustfingerprintingmethodforwebtoonidentificationinlargescaledatabases AT sagarjadhav robustfingerprintingmethodforwebtoonidentificationinlargescaledatabases AT hyuckjookwon robustfingerprintingmethodforwebtoonidentificationinlargescaledatabases AT sanghoonlee robustfingerprintingmethodforwebtoonidentificationinlargescaledatabases
_version_	1718420666439434240

Robust Fingerprinting Method for Webtoon Identification in Large-Scale Databases

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