Abstract: The recent explosion in digital video storage and delivery has presented strong motivation for high performance video compression solutions. Video compression takes the advent of spatial, temporal and psycho-visual redundancies which can be compensated efficiently by transform, motion estimation and quantization respectively. An efficient video compression technique must preserve the trade-off between compression ratio and the quality of the video. The performance of existing image and video coding standards generally degrade at low bit-rates because of the underlying block based Discrete Cosine Transform (DCT) scheme. Over the past decade, the success of wavelets in solving many different problems has contributed to its unprecedented popularity. A new representation of these 2D (Image) signals called as wavelet footprints are the finite scale space vectors containing all the wavelet coefficients generated by particular polynomial discontinuities. The objective of this study is to develop an efficient compression scheme for the video stream by fast motion estimation algorithms up to half pixel accuracy as in newest international standard, ITU-T H.264/AVC and to obtain better quality and higher compression ratio through wavelet footprints.
R. Sudhakar , N. Vignesh and S. Jayaraman , 2006. A Novel Video Coding Algorithm Using Wavelet Footprints and Nonlinear Approximation. Asian Journal of Information Technology, 5: 367-375.