Abstract
This paper deals with the methods for classifying whether a video is harmful or not and also evaluates their performance. The objectionable video classification can be performed using two methods. One can be practiced by judging whether each frame included in the video is harmful, and the other be obtained by using the features reflecting the entire characteristics of the video. The former is a single frame-based feature and the latter is a group frame-based feature. Experimental results show that the group frame-based feature outperforms the single frame-based feature and is robust to the objectionable video classification.
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References
Fleck, M., Forsyth, D., Bregler, C.: Finding Naked People. In: European Conf. on Computer Vision, vol. 2, pp. 592–602 (1996)
Jones, M.J., Regh, J.M.: Statistical Color Model with Application to Skin Detection. Technical Report CRL (1998)
Wang, J.Z., Wiederhold, G., Firschein, O.: System for Screening Objectionable Imagers. Computer Communications 21, 1355–1600 (1998)
Bosson, A., Cawley, G.C., Chan, Y., Harvey, R.: Non-Retrieval: Blocking Pornographic Images. In: International Conf. on Image and Video Retrieval (2002)
Lee, J.-H.: Automatic Video Management System Using Face Recognition and MPEG-7 Visual Descriptors. ETRI Journal 27, 806–809 (2005)
Jeong, C.-Y., Kim, J.-S., Hong, K.-S.: Appearance-Based Nude Image Detection. In: ICPR, pp. 467–470 (2004)
Tsishkou, D., Hammami, M., Chen, L.: Face Detection in Video Using Combined Data-mining and Histogram based Skin-color Model. In: Proceedings of 3rd International Symposium on Image and Signal Processing and Analysis, pp. 500–503 (2003)
Ikeda, O.: Segmentation of Face in Video Footage Using HSV Color for Face Detection and Image Retrieval. In: Image Processing, ICIP 2003, Proceedings, vol. 3, pp. 14–17 (2003)
Manjunath, B.S., Salembier, P., Sikora, T.: Introduction to MPEG-7. John Wiley & Sons, Ltd., Chichester (2002)
Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
Joachims, T.: SVMlight Support Vector Machine, http://svmlight.joachims.org/
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© 2006 Springer-Verlag Berlin Heidelberg
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Lee, S., Lee, H., Nam, T. (2006). A Comparative Study of the Objectionable Video Classification Approaches Using Single and Group Frame Features. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_64
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DOI: https://doi.org/10.1007/11840930_64
Publisher Name: Springer, Berlin, Heidelberg
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