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학술대회 Retrieval of Illegal and Objectionable Multimedia
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저자
최병철, 김정녀, 류재철
발행일
200809
출처
International Conference on Networked Computing and Advanced Information Management (NCM) 2008, pp.645-647
DOI
https://dx.doi.org/10.1109/NCM.2008.140
초록
Currently, requirements of the retrieval of illegal movies and objectionable multimedia (images and movies) are needed in Internet era. So we developed XMAS(X multimedia analysis system). XMAS consists of two service applications - One is a detecting solution objectionable multimedia for clean internet and another is a retrieval solution of illegal movies for digital rights. XMAS uses feature extraction method based on the MPEG-7 visual descriptors and machine learning and decision based on multi-class SVM (support vector machine). The experimental accuracy of XMAS is about 0.91-0.93 for images of objectionable multimedia and about 0.93 for retrieval of illegal movies. © 2008 IEEE.
KSP 제안 키워드
Digital rights, MPEG-7 Visual Descriptors, Multi-class SVM, Multimedia Analysis, Support VectorMachine(SVM), analysis system, feature extraction method, machine Learning