%0 Journal Article %A Zeinab Zeinalpour-Tabrizi and Faeze Asdaghi and Mahmooh Fathy and Mohammad Reza Jahed-Motlagh %D 2010 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 44, 2010 %T Gradual Shot Boundary Detection and Classification Based on Fractal Analysis %U https://publications.waset.org/pdf/14137 %V 44 %X 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. %P 1358 - 1363