Abstract
In this paper, a novel technique for shot boundary detection operating on H.264/AVC-compressed sequences is presented. Due to new and improved coding tools in H.264/AVC, the characteristics of the obtained sequences differ from former video coding standards. Although several algorithms working on this new standard are already proposed, the presence of IDR frames can still lead to a low accuracy for abrupt transitions. To solve this issue, we present the motion-compensated intra partitioning map which relies on the intra partitioning modes and the motion vectors present in the compressed video stream. Experimental results show that this motion-compensated map achieves a high accuracy and exceeds related work.
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References
Arman, F., Depommier, R., Hsu, A., Chiu, M.Y.: Content-based browsing of video sequences. In: Proceedings of ACM Multimedia, pp. 97–103 (1994)
Bescós, J.: Real-time shot change detection over online MPEG-2 video. IEEE Transactions on Circuits and Systems for Video Technology 14(4), 475–484 (2004)
De Bruyne, S., Van Deursen, D., De Cock, J., De Neve, W., Lambert, P., Van de Walle, R.: A compressed-domain approach for shot boundary detection on H.264/AVC bit streams. Signal Processing: Image Communication - Semantic Analysis for Interactive Multimedia Services 23(7), 473–498 (2008)
Fernando, W.A.C.: Sudden scene change detection in compressed video using interpolated macroblocks in B-frames. Multimedia Tools and Applications 28(3), 301–320 (2006)
Hanjalic, A.: Towards theoretical performance limits of video parsing. IEEE Transactions on Circuits and Systems for Video Technology 17(3), 261–272 (2007)
ISO/IEC: Description of MPEG-7 content set. ISO/IEC JTC1/SC29/WGll/N2467 (October 1998)
Jacobs, A., Miene, A., Ioannidis, G.T., Herzog, O.: Automatic shot boundary detection combining color, edge, and motion features of adjacent frames. In: TRECVID 2004 Workshop Notebook Papers, pp. 197–206 (2004)
Kim, S.-M., Byun, J.W., Won, C.S.: A scene change detection in H.264/AVC compression domain. In: Ho, Y.-S., Kim, H.-J. (eds.) PCM 2005. LNCS, vol. 3768, pp. 1072–1082. Springer, Heidelberg (2005)
Kuo, T.Y., Lo, Y.C.: Detection of H.264 shot change using intra predicted direction. In: Proceedings of the International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 204–207 (2008)
Liu, Y., Wang, W., Gao, W., Zeng, W.: A novel compressed domain shot segmentation algorithm on H.264/AVC. In: Proceedings of the IEEE International Conference on Image Processing, vol. 4, pp. 2235–2238 (2004)
Pei, S.C., Chou, Y.Z.: Efficient MPEG compressed video analysis using macroblock type information. IEEE Transactions on Multimedia 1(4), 321–333 (1999)
Wiegand, T., Sullivan, G.J., Bjøntegaard, G., Luthra, A.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13(7), 560–576 (2003)
Yeo, B.L., Liu, B.: Rapid scene analysis on compressed video. IEEE Transactions on Circuits and Systems for Video Technology 5(6), 533–544 (1995)
Zeng, W., Gao, W.: Shot change detection on H.264/AVC compressed video. In: Proceedings of the IEEE International Symposium on Circuits and Systems, vol. 4, pp. 3459–3462 (2005)
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De Bruyne, S., De Cock, J., Poppe, C., Hollemeersch, CF., Lambert, P., Van de Walle, R. (2011). Compressed-Domain Shot Boundary Detection for H.264/AVC Using Intra Partitioning Maps. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17832-0_4
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DOI: https://doi.org/10.1007/978-3-642-17832-0_4
Publisher Name: Springer, Berlin, Heidelberg
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