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Conference Paper
An Objectionable Video Classification Algorithms based on Single Frame based Feature and Group Frame based Feature
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- Authors
- Ho Gyun Lee, Seung Min Lee, Tae Kyong Nam
- Issue Date
- 2006-11
- Citation
- International Conference on Communications, Internet, and Information Technology (CIIT) 2006, pp.7-12
- Language
- English
- Type
- Conference Paper
- Abstract
- This study deals with the algorithms for objectionable video classification. The three different methods are compared on 2000 experimental data. The categories are: (a) harmful image classification using skin color region (b) video classification using GoF (group of frame) and (c) discriminant analysis using above two methods. This paper describes different objectionable video classification methods based on a feature extraction method and compares calculation cost and accuracy of the methods. Some experiments were carried out to find out the optimal threshold, the cost, and the performance. Our results show that the method (b) and (c) has the best performance.