A Novel Hierarchical Dynamic Video Summarization Representation for Video Analysis

Based on Rough Sets (RS), a novel effective video summarization representation was proposed for video analysis in compressed domain. Firstly, DCT coefficients and DC coefficients are extracted from original video image sequences, so an Information System can construct with DC coefficients. Then, Information System is reduced by attributes reduction theory of RS, the representation of the video frame is achieved by reduced DC coefficients. Finally, the reduced Information System can be achieved. Since the Core of Information System contained all major video information in video sequences, which banished the redundant video frame, so it can be considered as the efficient summarization representation. Compared to conventional or existing 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. (3) According to the reduced frame number, the algorithm can extract hierarchical dynamic video summarization representation.