Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29414

Select areas to restrict search in scientific publication database:
Fast Algorithm of Shot Cut Detection
In this paper we present a novel method, which reduces the computational complexity of abrupt cut detection. We have proposed fast algorithm, where the similarity of frames within defined step is evaluated instead of comparing successive frames. Based on the results of simulation on large video collection, the proposed fast algorithm is able to achieve 80% reduction of needed frames comparisons compared to actually used methods without the shot cut detection accuracy degradation.
Digital Object Identifier (DOI):


[1] 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
[2] S. PASCHALAKIS and D. SIMMONS, (2008, April 24), "Detection of gradual transitions in video sequences"
[Online]. Available: 0594&DISPLAY=STATUS.
[3] A. Amiri and M. Fathy, "Video shot boundary detection using QR decomposition and Gaussian transition detection," EURASIP Journal on Advances in Signal Processing, Volume 2009, Article ID 509438.
[4] A. Hanjalic, "Shot-boundary detection: unraveled and resolved?," IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2, pp. 90-105, 2002.
[5] J. S. Boreczky and L. A. Rowe, "Comparison of video shot boundary detection techniques," Storage and Retrieval for Still Image and Video Databases IV, Proc. SPIE 2664, pp. 170-179, 1996.
[6] R. Lienhart, "Comparison of automatic shot boundary detection algorithms," Storage and Retrieval for Image and Video Databases VII, vol. 3656 of Proceedings of SPIE, pp. 290-301, San Jose, Ca, USA, 1999.
[7] 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," Proc. IEEE Int. Conf. on Image Proc., volume 2, pages 884-887, 1998.
[8] 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.
[9] Y. Yusoff, J. Kittler and W. Christmas, "Combining multiple experts for classifying shot changes in video sequences," Proc. 6th Int. Conf. on Multimedia Comp. and Systems (ICMCS), volume 2, pages 700-704, Florence, Italy, 1999.
[10] R. Dugad, K. Ratakonda and N. Ahuja, "Robust video shot change detection", IEEE Workshop on Multimedia Signal Processing, 1998.
[11] 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, 1995.
[12] 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.
[13] Y. K. Eugene, and R. G. Johnston, "The Ineffectiveness of the Correlation Coefficient for Image Comparisons," Technical Report LAUR- 96-2474, Los Alamos, 1996.
[14] M. Oravec, J. Pavlovi─ìov├í, J. Mazanec, ─¢. Omelina, M. Féder and J. Ban, "Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition," Reviews, Refinements and New Ideas in Face Recognition (InTech), pp. 181-206, 2011.
Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007