We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Shot Boundary Detection for a Video under the Influence of Illumination: A Adaptive Thresholding Approach

by Parul S. Arora Bhalotra, Nilam N. Ghuge, B. D. Shinde
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 11
Year of Publication: 2012
Authors: Parul S. Arora Bhalotra, Nilam N. Ghuge, B. D. Shinde
10.5120/8934-3059

Parul S. Arora Bhalotra, Nilam N. Ghuge, B. D. Shinde . Shot Boundary Detection for a Video under the Influence of Illumination: A Adaptive Thresholding Approach. International Journal of Computer Applications. 56, 11 ( October 2012), 12-15. DOI=10.5120/8934-3059

@article{ 10.5120/8934-3059,
author = { Parul S. Arora Bhalotra, Nilam N. Ghuge, B. D. Shinde },
title = { Shot Boundary Detection for a Video under the Influence of Illumination: A Adaptive Thresholding Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 11 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number11/8934-3059/ },
doi = { 10.5120/8934-3059 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:33.618464+05:30
%A Parul S. Arora Bhalotra
%A Nilam N. Ghuge
%A B. D. Shinde
%T Shot Boundary Detection for a Video under the Influence of Illumination: A Adaptive Thresholding Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 11
%P 12-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Video Shot boundary detection is the process of automatically detecting the boundaries between shots in video. Shot Boundary detection is an important fundamental process in video data access, indexing, search and retrieval. The increased availability and usage of on-line digital video has created a need for automated video content analysis techniques. Detection of gradual transition and elimination of disturbances caused by illumination change is a major challenge in shot boundary detection technique. These disturbances are often mistaken as shot boundaries. It is a crucial task to develop a method that is not only insensitive to illumination change but also sensitive to detect shot change. An algorithm is proposed for shot boundary detection in presence of illumination change. This is very important for accurate detection of shot boundaries and very useful in content based analysis of video. First the algorithm removes illumination change using discrete cosine transform and discrete wavelet transform. Then shot boundaries are detected using normal difference & wavelet difference. A shot boundary is detected when the feature difference shows sharp change greater than threshold. Experimental study is performed on number of videos that include significant illumination change. The performance of proposed algorithm is better as compared to existing techniques

References
  1. H. J. Zhang, A. Kankanhalli, and S. W. Smoliar, 1993, ''Automatic partitioning of full-motion video'', Multimedia systems vol. 1, pp. 10–28.
  2. J. S. Boreczky and L. Rowe, Feb. 1996, "Comparison of video shot boundary detection techniques", in Procedings IS&T/SPIE Storage and retrieval for still image and video databases IV, vol. 2670, pp. 170–179.
  3. R. Lienhart, Sept. 2001, "Reliable transition detection in videos: A survey and practitioners guide", International journal of image and graphics, vol. 1, no. 3, pp. 469 – 486.
  4. A. Hanjalic, Feb. 2002, "Shot-boundary detection: Unraveled and resolved?", IEEE transaction circuits system video technology, vol. 12, no. 2, pp. 90 – 105.
  5. U. Gargi, R. Kasturi, and S. H. Strayer, Feb. 2000, "Performance characterization of video shot-change detection methods", IEEE transaction circuits systems video technology, vol. 10, no. 1, pp. 1 – 13.
  6. R ford, C Robonson, D Temple & M gelach, 2000, " Metrics for short boundary detection in digital video system", vol. 8, pp. 37-46.
  7. J. yuan, H. wang, L. xiao, W. zheng, J Li, F Lin, et al. Feb. 2007, "A formal study of shot boundary detection on circuit & systems for video technology", vol. 17,no. 2, pp. 168-186.
  8. K. sethi & N. Patel, Feb 1995, "A statistical approach to scene change detection", SPIE, proceedings on storage and retrieval for image & video database III, vol. 2420, pp. 329-338.
  9. Jinhui Yuan, Huiti wang, lan Xiao, Wujie Zheng, Jianmin Li, Fuzong Lin, & Bo Zhang , 2007, "A formal study of shot boundary detection", IEEE Transaction on circuits & systems for video technology", vol. 17, no. 2, pp. 234-239.
Index Terms

Computer Science
Information Sciences

Keywords

Video shot boundary detection Image processing Pattern recognition