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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

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Index Terms

Computer Science
Information Sciences

Keywords

Video shot boundary detection Image processing Pattern recognition