A study on the video compression using the image matching based on the critical-point filters

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We have proposed a method to compress a sequence of images such as a video sequence by first finding the dense correspondence between keyframes and then by compressing the residuals. Central to the proposed work is the use of an automatic image matching algorithm called CPF that establishes a pixel-by-pixel mapping between arbitrary images. There is no need for any prior knowledge of the objects in the images. Parameters are set completely automatically by dynamical computation. CPF computes the optimal mapping the between two images at each resolution where the multiresolution hierarchy is generated by the CPFs that preserve the stronger critical points. Thus, CPF is suitable for arbitrary image sequences where there can be no assumption on the image contents.