@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}, }