Video Shot Detection and Key Frame Extraction Using Faber Shauder DWT and SVD
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.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337603Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2173
 M. El Hajji, H. Douzi, D. Mammas, R. Harba, F. Ros, A New Image Watermarking Algorithm Based on Mixed Scales Wavelets, J. Electron. Imaging. 21(1), 013003 (Feb 27, 2012).
 M. Hajji , H. Douzi , R. Harba, Watermarking Based on the Density Coefficients of Faber Schauder Wavelets, Proceedings of the 3rd international conference on Image and Signal Processing, July 01-03, 2008, Cherbourg-Octeville, France.
 W. Abd-Almageed, Online, simultaneous shot boundary detection and key frame extraction for sports videos using rank tracing, Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, vol., no., pp.3200,3203, 12-15 Oct. 2008.
 S. Lei, G. Xie, G. Yan, A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index , ScientificWorldJournal. 2014 Mar 16;2014:695168.
 B. T. Truong, Venkatesh, Video abstraction: A systematic review and classification, ACM Trans. Multimedia Comput. Commun. Appl. 3, 1, Article 3, Feb. 2007.
 C. T. Dang, M. Kumar, H. Radha, Key Frame Extraction from Consumer Videos Using Epitome, Image Processing (ICIP), 19th IEEE International Conference on. pp. 93-96, September 2012.
 H. Douzi, D. Mammass, F. Nouboud, ”Faber-Schauder wavelet transformation application to edge detection and image characterization,” Journal of Mathematical Imaging and Vision Kluwer Academic Press, pp 91-102 ,Vol. 14(2), 2001.
 W. Sweldens, ”The lifting scheme: A construction of second generation wavelets,” SIAM Journal on Mathematical Analysis, vol. 29, no.2, pp. 511546, 1998.
 N. Otsu, A threshold selection method from grey scale histogram, IEEE Trans. on SMC, Vol. 1, pp. 62-66, 1979.
 K. Bhagyashri, Joshi M. Y. ,Robust Image Watermarking based on Singular Value Decomposition and Discrete Wavelet Transform, Nanded 2010 IEEE.