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Video Shot Boundary Detection – Comparison of Color Histogram and Gist Method

P. Swati Sowjanya*, Ravi Mishra**

** ME Student, Department of Communication, SSCET, Bhilai (C.G).

** Senior Assistant Professor, SSCET, Bhilai (C.G).

Periodicity:November - January'2012
DOI : https://doi.org/10.26634/jcs.1.1.1728

Abstract

Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Here we are using two different methods for comparison, using GIST , Color Histogram. Color histogram method draws the histogram for the frames and detects shot comparing these histograms but this is sensitive to illuminance and motion while the GIST uses two different properties of the video i.e color and gist for the detection of the shots. The aim of this paper is to make a comparison between two of the well-known methods used for detecting video shot boundaries. Firstly various methods are described in the preceding sections then a comparison is made about it. This paper shows that the GIST method produces good result over the other method.

Keywords

Shot, Cut, Gradual, Color Histogram, Motion Descriptor, GIST, Segmentation.

How to Cite this Article?

Sowjanya, P. S., and Mishra, R. (2012). Video Shot Boundary Detection - Comparison Of Color Histogram And GIST Method. i-manager’s Journal on Communication Engineering and Systems, 1(1), 11-19. https://doi.org/10.26634/jcs.1.1.1728

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