@article{(Open Science Index):https://publications.waset.org/pdf/10000060,
	  title     = {Video Shot Detection and Key Frame Extraction Using Faber Shauder DWT and SVD},
	  author    = {Assma Azeroual and  Karim Afdel and  Mohamed El Hajji and  Hassan Douzi},
	  country	= {},
	  institution	= {},
	  abstract     = {Key frame extraction methods select the most
representative frames of a video, which can be used in different areas
of video processing such as video retrieval, video summary, and video
indexing. In this paper we present a novel approach for extracting key
frames from video sequences. The frame is characterized uniquely by
his contours which are represented by the dominant blocks. These
dominant blocks are located on the contours and its near textures.
When the video frames have a noticeable changement, its dominant
blocks changed, then we can extracte a key frame. The dominant
blocks of every frame is computed, and then feature vectors are
extracted from the dominant blocks image of each frame and arranged
in a feature matrix. Singular Value Decomposition is used to calculate
sliding windows ranks of those matrices. Finally the computed ranks
are traced and then we are able to extract key frames of a video.
Experimental results show that the proposed approach is robust
against a large range of digital effects used during shot transition.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {2190 - 2193},
	  ee        = {https://publications.waset.org/pdf/10000060},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},