BROWSE
Detail
Conference Paper
Retrieval of Illegal and Objectionable Multimedia
- Authors
- Byeong Cheol Cho, Jung Nyeo Kim, Jea Cheol Ryou
- Issue Date
- 2008-09
- Citation
- International Conference on Networked Computing and Advanced Information Management (NCM) 2008, pp.645-647
- Language
- English
- Type
- Conference Paper
- Project Code
- 08MS1300, A Development of Cost Effective and Large Scale Global Internet Service Solution, Han Namgoong
- Abstract
- 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 Keywords
- Digital rights, MPEG-7 Visual Descriptors, Multi-class SVM, Multimedia Analysis, Support VectorMachine(SVM), analysis system, feature extraction method, machine Learning