Shot boundary detection is essentially the first step in analyzing content of the video. Wipe transition is an important type of gradual transition eminently used in the video production industry to smoothen the transition between two shots. Wipes involve almost 30 different types of transitions and hence it becomes very difficult to detect them as compared to detection of other shot boundaries such as cut, fade and dissolve. Most of the researchers who have worked in shot boundary detection domain have concentrated on fade, dissolve and cuts, because of the complexities involved in detection of wipes due to noise, object and camera motion. This study proposes an efficient wipe transition detection method which combats the hindrances caused by noise as well as object and camera motion in detection of wipes. The proposed algorithm uses mean of statistical image differences as the pivotal basis in discriminating wipes from object and camera motion

Author Name: Salim Chavan,Sadik Fanan,Dr. Sudhir Akojwar

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Keywords: Gradual transition detection, video indexing, video summarization, shot boundary detection, Wipes, Wipe detection Algorithms, Wipe transition effects

ISSN: 2349-2163

EISSN: 2349-2163

EOI/DOI:

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