Abstract
Achieving high effectiveness in Shot Boundary Detection (SBD) paves the way for high-level analysis of the video (keyframe extraction, story segmentation, etc.), which makes this step very important. Thus, the SBD problem has been extensively addressed, and many approaches have been proposed. As these approaches have their own different strengths and weaknesses, merging the outcomes of different detectors in order to obtain a better detector comes naturally. In this paper we propose an approach to SBD which takes into account the outcomes of two shot boundary detectors, using a rank fusion technique. This new detector is tested with videos from the TRECVid initiative, finding that it outperforms the two original methods. Moreover, the computation of this merging method is very fast, so it is very attractive for an operational environment.
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References
Voorhees, E.M., Harman, D.K.: TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing). MIT Press, Cambridge (2005)
Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and TRECVid. In: Proceedings of MIR 2006, pp. 321–330 (2006)
O’Toole, C., Smeaton, A.F., Murphy, N., Marlow., S.: Evaluation of automatic shot boundary detection on a large video test suite. In: Proceedings of CIR 1999 (1999)
Hanjalic, A.: Shot-boundary detection: unraveled and resolved? IEEE TCSV 12(2), 90–105 (2002)
Smeaton, A.F., Gilvarry, J., Gormley, G., Tobin, B., Marlow, S., Murphy., N.: An evaluation of alternative techniques for automatic detection of shot boundaries in digital video. In: Proceedings of IMVIP 1999 (1999)
Yeo, B.L., Liu, B.: Rapid scene analysis on compressed video. IEEE TCSV 5(6), 533–544 (1995)
Browne, P., Smeaton, A.F., Murphy, N., O’Connor, N., Marlow, S., Berrut, C.: Evaluating and combining digital video shot boundary detection algorithms. In: Proceedings of IMVIP 2000, pp. 93–100 (2000)
Liu, Z., Gibbon, D., Zavesky, E., Shahraray, B., Haffner, P.: A fast, comprehensive shot boundary determination system. In: Proceedings of IEEE ICME 2007, pp. 1487–1490 (2007)
Matsumoto, K., Naito, M., Hoashi, K., Sugaya, F.: SVM-based shot boundary detection with a novel feature. In: Proceedings of IEEE ICME 2006, pp. 1837–1840 (2006)
Over, P., Awad, G., Kraaij, W., Smeaton., A.F.: TRECVID 2007 overview. In: TRECVid 2007 - Text REtrieval Conference TRECVid Workshop (2007)
Aslam, J.A., Montague, M.: Models for metasearch. In: Proceedings of SIGIR 2001, pp. 276–284 (2001)
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Ares, M.E., Barreiro, Á. (2009). Using a Rank Fusion Technique to Improve Shot Boundary Detection Effectiveness. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_33
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DOI: https://doi.org/10.1007/978-3-642-04772-5_33
Publisher Name: Springer, Berlin, Heidelberg
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