Video Shot Detection Method Based on Histogram Comparison Procedure

Authors

  • Manuk K. Zakaryan Russian-Armenian University

Keywords:

Video segmentation, Shot detection, Image similarity measure, Histogram

Abstract

Video segmentation and shot detection are the main components in automatic video indexing, archiving, editing and retrieval. For the last fifteen years a lot of techniques have been proposed some of which have reliable performances in the video processing, especially for the video cut detection, key frame extraction and browsing technique. They have a big range of usage mainly in medical diagnosis, military, retail catalog, traffic control, security, etc. In this paper we provide a comparative analysis of histogram and certain structural properties based methods for video cut detection problems. Advantages and disadvantages of the mentioned methods are shown.

References

R. Lienhart, “Reliable transition detection in videos: A survey and practitioners guide”, International Journal of Image and Graphics, vol. 1, no. 3, pp. 469--486, 2001.

I. Koprinska and S. Carrato , “Temporal video segmentation: a survey”, Signal Process.: Image Communication, vol. 16, no. 5, pp. 477 – 500, 2001.

R. Brunelli and O. Mich, “Histograms analysis for image retrieval”, Pattern Recognition, vol. 34, no.8, pp. 1625-1637, 2001

X. Jiang, T. Sun, J. Li and Xi Chen, “A novel shot edge detection algorithm based on chi-square histogram and macro-block statistics”, International Symposium on Information Science and Engieering, vol. 2, pp. 604 - 607, 2008.

M. Sizintsev, O. N Toronto, K. G. Derpanis and A. Hogue, “Histogram-based search: A comparative study”, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1 - 8, June 2008.

W. Jia, H. Zhang, X. He and Q. Wu, “A comparison on histogram based image matching methods”, IEEE International Conference on Video and Signal Based Surveillance, 2006. AVSS '06, p.97, Nov 2006.

M. S. Khalid and M. Bilal Malik, “Biased nature of Bhattacharyya coefficient in correlation of gray-scale objects”, Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, pp. 209 - 214, Sept. 2005.

S. Dubuisson, “The computation of the Bhattacharyya distance between histograms without histograms”, 2nd International Conference on Image Processing Theory Tools and Applications (IPTA), pp. 373 - 378, July 2010.

D. Asatryan and K. Egiazarian, “Quality assessment measure based on imagestructural properties”, Proc. of the International Workshop on Local and Non-Local Approximation in Image Processing, Finland, Helsinki, pp. 70-73, 2009.

D. Asatryan and M. Zakaryan, “Method for video shot detection and separation”, International Journal "Information Models and Analysis", vol. 3, no. 3, p. 247-251, 2014.

Downloads

Published

2021-12-10

How to Cite

Zakaryan, M. K. . (2021). Video Shot Detection Method Based on Histogram Comparison Procedure. Mathematical Problems of Computer Science, 44, 77–84. Retrieved from http://93.187.165.2/index.php/mpcs/article/view/186