DocumentCode :
1900612
Title :
Video shot boundary detection: A review
Author :
SenGupta, Ananya ; Thounaojam, Dalton Meitei ; Manglem Singh, Kh ; Roy, Sudipta
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol. Silchar, Silchar, India
fYear :
2015
fDate :
5-7 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
Due to huge growth in multimedia and technology, it is very important to go through the point of interest rather than accessing the entire video. For efficient indexing and retrieving the interest points, content based video retrieval is used. The first step toward CBVR is shot boundary detection. It is necessary to partition the video into shots for easy indexing and retrieval of video. Therefore, segmentation plays an important role in digital media processing, pattern recognition, and computer vision. In this paper, we present different approaches to shot boundary detection problem.
Keywords :
computer vision; image segmentation; indexing; video retrieval; CBVR; computer vision; content based video retrieval; digital media processing; image segmentation; pattern recognition; video indexing; video retrival; video shot boundary detection problem; Color; Histograms; Image edge detection; Kalman filters; Standards; Transform coding; Shot boundary detection; cut; dissolve; fades; wipes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6084-2
Type :
conf
DOI :
10.1109/ICECCT.2015.7226084
Filename :
7226084
Link To Document :
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