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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Lee, S., Lee, H., & Nam, T. (2006). A comparative study of the objectionable video classification approaches using single and group frame features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4132 LNCS-II, pp. 616–623). Springer Verlag. https://doi.org/10.1007/11840930_64
Mendeley helps you to discover research relevant for your work.