@article{(Open Science Index):https://publications.waset.org/pdf/14137,
	  title     = {Gradual Shot Boundary Detection and Classification Based on Fractal Analysis},
	  author    = {Zeinab Zeinalpour-Tabrizi and  Faeze Asdaghi and  Mahmooh Fathy and  Mohammad Reza Jahed-Motlagh},
	  country	= {},
	  institution	= {},
	  abstract     = {Shot boundary detection is a fundamental step for the organization of large video data. In this paper, we propose a new method for video gradual shots detection and classification, using advantages of fractal analysis and AIS-based classifier. Proposed features are “vertical intercept" and “fractal dimension" of each frame of videos which are computed using Fourier transform coefficients. We also used a classifier based on Clonal Selection Algorithm. We have carried out our solution and assessed it according to the TRECVID2006 benchmark dataset.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {8},
	  year      = {2010},
	  pages     = {1358 - 1363},
	  ee        = {https://publications.waset.org/pdf/14137},
	  url   	= {https://publications.waset.org/vol/44},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 44, 2010},
	}