Author/Authors :
Yarmohammadi, Hadi Faculty of Computer Engineering - Shahrood University of Technology, Shahrood, Iran , Marvi, Hossein Faculty of Electrical Engineering - Shahrood University of Technology, Shahrood, Iran , Hassanpour, Hamid Faculty of Computer Engineering - Shahrood University of Technology, Shahrood, Iran
Abstract :
In this paper, a novel method for video content summarization has been proposed by calculating the
fractal dimension of frames. Summarization of the video is the rst step in automatic video analysis.
In this paper, we use the support vector machine (SVM) and the decision - tree to identify the
shot boundary and classify them. In order to compute the fractal dimension, the numerical method
has been expressed. The results of this implementation were also reported on TRECVID 2006 data
collection. The results show that the relative advantage of the method presented in this paper is
compared to other articles.
Keywords :
Support Vector Machine , Key frame extraction , Shot boundary detection , Video summarization
