Abstract
In many video coding related applications, both shot change detection and motion estimation need to be performed. In this paper, a new shot change detection method is proposed for such applications, which uses the information from motion estimation. We first propose to classify Macroblocks of each frame into different classes based on the information obtained in the motion estimation process. Each class can capture some specific characteristics of the frame. The shot changes can then be detected based on the extracted class information. The proposed method has low computation complexity. It can easily be implemented into most existing video coding systems without extra cost. Experimental results show that the proposed method can detect shot changes effectively. Some extension applications of our class information are also discussed in the paper.
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References
Swanberg, D., Shu, C.F., Jain, R.: Knowledge guided parsing in video database. In: Proc. Storage and Retrieval for Image and Video Database (1993)
Zhang, K., Kittler, J.: Using scene-change detection and multiple-thread background memory for efficient video coding. Electronics Letters 35(4), 290–291 (1999)
Eom, M., Choe, Y.: Scene Change Detection on H.264/AVC Compressed Video Using Intra Mode Distribution Histogram Based on Intra Prediction Mode. In: Proc. Applications of Electrical Engineering, Turkey, pp. 140–144 (2007)
Akutsu, A., Tonomura, Y., Hashimoto, H., Ohba, Y.: Video indexing using motion vectors. In: Proc. Visual Communication and Image Processing (1992)
Shu, S., Chau, L.P.: A new scene change feature for video transcoding. In: IEEE Symp. Circuits and Systems (2005)
Soldatov, S., Strelnikov, K., Vatolin, D.: Low complexity global motion estimation from block motion vectors. In: Spring Conf. Computer Graphics (2006)
Arman, F., Hsu, A., Chiu, M.Y.: Image processing on encoded video sequences. Multimedia Syst. 1, 211–219 (1994)
Kim, J.-R., Suh, S., Sull, S.: Fast scene change detection for personal video recorder. IEEE Trans. Consumer Electronics 49, 683–688 (2003)
Lin, W., Panusopone, K., Baylon, D., Sun, M.T.: A new class-based early termination method for fast motion estimation in video coding. In: IEEE Symp. Circuits and Systems, Taipei (2009)
Yi, X., Zhang, J., Ling, N., Shang, W.: Improved and simplified fast motion estimation for JM. In: JVT-P021, Poland (2005)
Lin, W., Sun, M.T., Poovendran, R., Zhang, Z.: Activity recognition using a combination of category components and local models for video surveillance. IEEE Trans. Circuits and Systems for Video Technology 18, 1128–1139 (2008)
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Lin, W., Sun, MT., Li, H., Hu, HM. (2010). A New Shot Change Detection Method Using Information from Motion Estimation. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_25
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DOI: https://doi.org/10.1007/978-3-642-15696-0_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15695-3
Online ISBN: 978-3-642-15696-0
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