A comparative study of the objectionable video classification approaches using single and group frame features

Authors:
Seungmin Lee;Hogyun Lee;Taekyong Nam
Affiliations:
Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea;Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea;Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Year:
2006

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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.