• Review of Korea Contents Association
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• v.12 no.2
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• pp.60-67
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• 2014

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.5
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• pp.897-907
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• 2013

Since various smart devices are being developed, a growing number of people are reading eBooks instead of paper books. However, people started making eBooks on their own by scanning paper books because there are not enough eBooks provided from market. The term "Bookscan" was made with this reason. The number of bookscan company is increasing because the equipment is too expensive. However, the commercial activity of bookscan company is against copyright law. Also bookscan files are in danger of being illegally distributed on web, because bookscan companies are not protecting copyright. Publication market follows the same procedure with sound market which was collapsed due to copyright problem. Therefore, the technical methods should be prepared for law system against bookscan. The previous ICOP(Illegal Copyrights Obstruction Program) system has been applied to sound and movie files, but not applied to publication. This paper suggests the framework for bookscan file management based on practical mechanism.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.131-137
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• 2014

Although illegal reproduction of cartoon books are prevalent with rapid growth of webhard services and smartphone use, fingerprinting technology for product identification, as seen in music and videos, has not been developed yet. This leads to indiscriminate illegal reproduction of cartoon books, causing great amount of copyright damages from copyright infringement of the rightful owners. The copyright R&D project granted from the Korea Copyright Permission (Project Title: Identification and Copy Protection Technology of Bookscaned Text/Comic Books) has been carried out in order to develop technology to effectively identify illegal reproduction and distribution of scanned cartoon books. The developed technology will contribute to increase of royalty payments and robust ecosystem of cartoon book markets. The study is to propose an enhanced implementation model for identification of scanned cartoon books on the basis of hierarchical symmetric difference feature algorithms adopted from existing feature extraction algorithms for video.