• Title/Summary/Keyword: Copyright Detection

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Automated Detection Technique for Suspected Copyright Infringement Sites

  • Jeong, Hae Seon;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4889-4908
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    • 2020
  • With the advances in Information Technology (IT), users can download or stream copyrighted works, such as videos, music, and webtoons, at their convenience. Thus, the frequency of use of copyrighted works has increased. Consequently, the number of unauthorized copies and sharing of copyrighted works has also increased. Monitoring is being conducted on sites suspected of conducting copyright infringement activities to reduce copyright holders' damage due to unauthorized sharing of copyrighted works. However, suspected copyright infringement sites respond by changing their domains or blocking access requests. Although research has been conducted for improving the effectiveness of suspected copyright infringement site detection by defining suspected copyright infringement sites' response techniques as a lifecycle step, there is a paucity of studies on automation techniques for lifecycle detection. This has reduced the accuracy of lifecycle step detection on suspected copyright infringement sites, which change domains and lifecycle steps in a short period of time. Thus, in this paper, an automated detection technique for suspected copyright infringement sites is proposed for efficient detection and response to suspected copyright infringement sites. Using our proposed technique, the response to each lifecycle step can be effectively conducted by automatically detecting the lifecycle step.

Improved Piracy Site Detection Technique using Search Engine

  • Kim, Eui-Jin;Kim, Deuk-Hun;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.7
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    • pp.2459-2472
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    • 2022
  • With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.

Intelligent Piracy Site Detection Technique with High Accuracy

  • Kim, Eui-Jin;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.1
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    • pp.285-301
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    • 2021
  • Recently, with the diversification of media services and the development of smart devices, users have more opportunities to use digital content, such as movies, dramas, and music; consequently, the size of the copyright market expands simultaneously. However, there are piracy sites that generate revenue by illegal use of copyrighted works. This has led to losses for copyright holders, and the scale of copyrighted works infringed due to the ever-increasing number of piracy sites has increased. To prevent this, government agencies respond to copyright infringement by monitoring piracy sites using online monitoring and countermeasure strategies for infringement. However, the detection and blocking process consumes a significant amount of time when compared to the rate of generating new piracy sites. Hence, online monitoring is less effective. Additionally, given that piracy sites are sophisticated and refined in the same way as legitimate sites, it is necessary to accurately distinguish and block a site that is involved in copyright infringement. Therefore, in this study, we analyze features of piracy sites and based on this analysis, we propose an intelligent detection technique for piracy sites that automatically classifies and detects whether a site is involved in infringement.

Multi-watermarking method for copyright protection and confidentiality for digital image (디지털 영상의 저작권 보호와 기밀성을 위한 다중워터마킹 방법)

  • 이성우;이형욱;신재호
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.1071-1074
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    • 1999
  • In this paper, we present a multi-watermarking method for a copyright protection and confidentiality for an original digital image. One watermark is used for a copyright protection and another for a copyright protection and another for a confidentiality and a detection of unauthorized copies.

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Feature Analysis and Detection Techniques for Piracy Sites

  • Choi, Seul-Ki;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2204-2220
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    • 2020
  • In recent years, digital content has become easily accessible because of internet technology. Representative examples of such digital content include various types, such as music, TV, (program, sport, drama etc.) and films. However, there are cases where internet technology is used in illegal ways without the authorization of the copyright holder for digital content. Such actions have a direct impact on copyright owners' profits and further affect the development of the digital culture industry adversely. Therefore, in this study, we analyze features to detect piracy sites that cause copyright infringement. Further, we develop a piracy site detection crawler based on these features and present the analysis of its performance.

A Hybrid Digital Watermarking Technique for Copyright Protection and Tamper Detection on Still images (정지영상에서 저작권 보호 및 위변조 검출을 위한 하이브리드 디지털 워터마킹 기법)

  • Yoo Kil-Sang;Song Geun-Sil;Choi Hyuk;Lee Won-Hyung
    • Journal of Internet Computing and Services
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    • v.4 no.4
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    • pp.27-34
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    • 2003
  • Digital image manipulation software is now readily available on personal computers. It is therefore very simple to tamper with any image and make it available to others. Therefore. copyright protection of digital contents and insurance of digital image integrity become major issues. In this paper, we propose a hybrid watermarking method to identify locations of tampered region as well as copyright. Our proposed algorithms embed the PN-sequence into low frequency sub-band of the wavelet transform domain and it doesn't need the original image in extraction procedure. The experimental results show good robustness against any signal processing with tamper detection on still image.

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Hybrid-Watermarking for DWT Based Authentication and Detection of Image Modification (DWT기반 이미지 인증 및 변형 검출을 위한 혼합 워터마킹)

  • Kim Dong-Seo;Joo Nak-Keun;Kang Tae-Hwan
    • The Journal of the Korea Contents Association
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    • v.6 no.1
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    • pp.170-178
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    • 2006
  • In this paper, the hybrid-watermarking method to make it possible to the authentication, modification detection and copyright protection of the digital image was proposed. After the original image is transformed by the DWT(Discrete Wavelet Transform), the encrypted watermark information is embedded into the LSB(Least Significant Bit) of LL band on the low frequence domain for authenticating and detecting modified position in the image. And watermark information is embedded by exchanging the wavelet coefficient for the copyright protection. Thereby, we can authenticate the modification and detect the modified location by extracting the values of LSB on the low frequence domain. And we can perceive the copyright information of original image by extracting the embedded watermark on the high frequence domain.

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A Logo Transition Detection Method for Opaque and Semi-Transparent TV Logo Recognition in Video (비디오에서 불투명 및 반투명 TV 로고 인식을 위한 로고 전이 검출 방법)

  • Roh, Myung-Cheol;Kang, Seung-Yeon;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.753-763
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    • 2008
  • The amount of UCCs (User Created Contents) has been increasing rapidly and is associated with a serious copyright problem. Automatic logo detection in videos is an efficient means of overcoming the copyright problem. However, logos have varying characteristics, which make logo detection and recognition very difficult. Especially, there are frequent logo transitions in a video, comprising several video contents. This disrupts accurate video segmentation based on logos. Therefore, this paper proposes an accurate logo transition detection method for recognizing logos in digital video contents. The proposed method accurately segments a video according to logo and efficiently recognizes various types of logos. The experimental results demonstrate the effectiveness of the proposed method for logo detection and video segmentation according to logo.

Removable Logo Watermarking Technique (제거 가능한 로고 워터마킹 기법)

  • Cho, Dong-Joon;Choi, Hyuk
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.857-860
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    • 2008
  • In this paper, we propose a removable logo watermarking technique for copyright protection of digital image. Then, visible logo is inserted into digital image to protect copyright, and the information removed by the logo is embedded by a new quantization watermarking. In a legal usage, the image can be reconstructed without logo after watermarking detection process. Experiment results show that the proposed method maintains high image quality in both watermarked images and reconstructed images, and is practical and effective in protection of image copyright.

A Study on Watermark Technique for Copyright Protection of Digital Images (디지털 영상물의 저작권 보호를 위한 워터마크 기술에 관한 연구)

  • Hong, Min-Suk;Park, Kang-Seo;Chung, Tae-Yun;Shin, Joon-In;Park, Sang-Hui
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.606-608
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    • 1998
  • Digital watermarking is the technique which embeds the invisible signal into multimedia data such as audio, video, images, for copyright protection, including owner identification and copy control information. In this paper, a new watermark detection algorithm by local masking cross covariance between watermarked signal and pseudo noise signal is proposed. The proposed algorithm enhances the detection probability for embedding information. Since reducing detection errors for the weak embedding signals, the algorithm improves the image quality and robusts against illegal attack to delete the embedding information and data compression applications such as JPEG and MPEGs.

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