Abstract

In this paper, a hierarchical video summarization representation algorithm was proposed for video analysis in compressed domain. In particular, Rough Sets(RS) theory is introduced for video analysis to inrease the efficiency of algorithm. Firstly, DCT coefficients and DC coefficients are extracted from video image sequences, so an Information System can construct with DC coefficient. Then, Information System is reduced by ruduction theory of RS, the representation of the video frame is obtained by reduced DC coefficients. Finaly, we can obtain the reduced Information System, i.e. the Core of Information System. Since the Core contained all the information in video sequences, and at the same time it banished redundant video frame, so it can be viewed as the efficient summarization representation. As our experimental results indicate that the algorithm can efficiently generate a set of video summarization representative of compressed domain videos sequences. Compared to conventional algorithm, the algorithm enjoys following advantages. (1)only a subset of video frames considered during video analysis, so it can avoid the computational complexity. (2) the video summarization representation becomes more scientific and efficient than previous methods.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call