Author : Aziz Makandar, Daneshwari Mulimani and Mahantesh Jevoor

Videos are often constructed in the hierarchical fashion: [Frame]->[Shot]->[Scene]->[Video]. As a preprocessing step frames have to be extracted for object recognition, detection and then for tracking process. To do this, choosing an efficient technique to extract the Key Frames from the video is essential. This paper contains the brief representation and comparison of effective Key Frame Extraction(KFE) methods like cluster-base analysis, Generalized Gaussian density method(GGD), General-Purpose Graphical Processing Unit(GPGPU), Histogram difference, which results in high performance and more accuracy in extracting the key frames from the video.

Keywords: KFE, Clustering, Discrete contour evaluation, MCMC, GGD, GPGPU, X2.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)