Shot Boundary Detection Using Sorted Color Histogram Polynomial Curve

Multimedia is going more and more popular day by day and the major reason is the rapid advancement in technology and continuous reduction in price. Boundless amount of data in all media formats are now available locally in our own computers and online over the internet, most of these are however unorganized and scattered. There is an emerging need of classification, summarization and indexing on multimedia data but because of its diverse and heterogenic nature no remarkable achievement could be achieved so far. Shot detection is the basic and probably the most important step in almost all video processing activities. Shot is a group of frames sharing some spatial features captured by a single camera action. Lot of work is done in this domain but no single solution can solve the problem completely. Different video editing techniques like zooming, fade-in, fade-out and gradual translations make the problem even more crucial. In this work, we are presenting a different approach of finding shot boundaries using third order polynomial cure. In this method instead of using multiple frames, features are extracted from single frames; these features collected for boundary detection can also be used efficiently for shot classification. [Awais Adnan, Muhammad Ali. Shot Boundary Detection Using Sorted Color Histogram Polynomial Curve. Life Sci J 2013;10(4):1965-1972]. (ISSN:1097-8135). http://www.lifesciencesite.com. 260