Shot Detection Using Modified Dugad Model
In this paper we present a modification to existed model of threshold for shot cut detection, which is able to adapt itself to the sequence statistics and operate in real time, because it use for calculation only previously evaluated frames. The efficiency of proposed modified adaptive threshold scheme was verified through extensive test experiment with several similarity metrics and achieved results were compared to the results reached by the original model. According to results proposed threshold scheme reached higher accuracy than existed original model.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1074381Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1243
 J. S. Boreczky and L. A. Rowe. "Comparison of video shot boundary detection techniques." Journal of Electronic Imaging, 5(2):122-128, 1996.
 H. Jiang, A. S. Helal, A. K. Elmagarmid, and A. Joshi. "Scene change detection techniques for video database systems," ACM Multimedia Systems, 6(3):186-195, 1998.
 Y. Yusoff,W. Christmas, and J. Kittler. A study on automatic shot change detection. In D. Hutchison and Ralf Schafer, editors, Proc 3rd. Eur. Conf. on Multimedia Apps, Services and Techniques (ECMAST), pages 177-189. Springer, May 1998.
 M. R. Naphade, R. Mehrotra, A. M. Ferman, J. Warnick, T. S. Huang, and A. M. Tekalp. "A high-performance shot boundary detection algorithm using multiple cues". In Proc. IEEE Int. Conf. on Image Proc., volume 2, pages 884-887, Oct 1998
 C. Taskiran and E. J. Delp. "Video scene change detection using the generalized sequence trace," Proc. IEEE Int. Conf. on Image Proc., pages 2961-2964, 1998.
 Y. Yusoff, J. Kittler, and W. Christmas. "Combining multiple experts for classifying shot changes in video sequences." In Proc. 6th Int. Conf. on Multimedia Comp. and Systems (ICMCS), volume 2, pages 700- 704, Florence, Italy, June 1999.
 R. Dugad, K. Ratakonda, and N. Ahuja. "Robust video shot change detection," IEEE Workshop on Multimedia Signal Processing, Dec 1998.
 B. L. Yeo and B. Liu. "Rapid scene analysis on compressed video," IEEE Trans. on Circuits and Systems for Video Technology, 5(6):533- 544, Dec 1995.
 R. Zabih, J. Miller, and K. Mai. "A feature-based algorithm for detecting and classifying production effects," ACM Multimedia Systems, 7(2):119-128, 1999.
 Z. Cernekova, I. Pitas, and C. Nikou, "Information theory-based shot cut/fade detection and video summarization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no.1, page(s): 82- 91, January 2006.
 S. PASCHALAKIS and D. SIMMONS, (2008, April 24), "Detection of gradual transitions in video sequences" (Online). Available: http://www.wipo.int/pctdb/en/wo.jsp?WO=2008046748&IA=EP200706 0594&DISPLAY=STATUS
 E. ┼áikudov├í, M. Gavrielides and I.Pitas, "Extracting semantic information from art images," Computer Vision and Graphics : International Conference, ICCVG 2004, pages 394-399, Warsaw, 22.- 24.9.2004.
 M. Gavrielides, E. ┼áikudov├í, and I. Pitas: "Color-based descriptors for image fingerprinting," IEEE Transactions on Multimedia, Vol. 8, No. 4 (2006), s. 740-748.
 S. CUMAR (22.10.2001), "An introduction to image compression" (Online). Available: http://www.debugmode.com/imagecmp/
 Y. K. Eugene, and R. G. Johnston, "The Ineffectiveness of the Correlation Coefficient for Image Comparisons," Technical Report LAUR- 96-2474, Los Alamos, 1996.