@article{(Open Science Index):https://publications.waset.org/pdf/10006036,
	  title     = {Shot Boundary Detection Using Octagon Square Search Pattern },
	  author    = {J. Kavitha and  S. Sowmyayani and  P. Arockia Jansi Rani},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a shot boundary detection method is presented using octagon square search pattern. The color, edge, motion and texture features of each frame are extracted and used in shot boundary detection. The motion feature is extracted using octagon square search pattern. Then, the transition detection method is capable of detecting the shot or non-shot boundaries in the video using the feature weight values. Experimental results are evaluated in TRECVID video test set containing various types of shot transition with lighting effects, object and camera movement within the shots. Further, this paper compares the experimental results of the proposed method with existing methods. It shows that the proposed method outperforms the state-of-art methods for shot boundary detection.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {7},
	  year      = {2016},
	  pages     = {1409 - 1412},
	  ee        = {https://publications.waset.org/pdf/10006036},
	  url   	= {https://publications.waset.org/vol/115},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 115, 2016},
	}