Abstract
It is a challenging issue to analyze video content for video mining tasks due to lacking of effective method to video analysis. In this paper, we propose a novel key frame extraction algorithm based on Rough Sets (RS) in Discrete Cosine Transform (DCT) compressed-domain. Firstly, we extract DCT coefficients in compressed-domain, select and preprocess the DC coefficients that derived from DCT coefficients. Secondly, we construct Information System with DC coefficients. Finally, we reduce Information System using attributes reduced theory of RS, and obtained the representation of the video frames by reduced DC coefficients. Experimental results show that the proposed algorithm is fast and effective. Compared to conventional algorithm, our algorithm enjoys the following advantages: (1) the numbers of the key frame extracted using our algorithm become more scientific; (2) the algorithm can avoid the expensive computations in decompression process.
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© 2012 Springer-Verlag Berlin Heidelberg
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Mei, L. (2012). A Novel RS-Based Key Frame Extraction Algorithm for Video Mining in Compressed-Domain. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_1
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DOI: https://doi.org/10.1007/978-3-642-25781-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25780-3
Online ISBN: 978-3-642-25781-0
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