Abstract
This paper presents a new and efficient method for video data compression using quadratic Bezier curve fitting. The method treats the luminance or color variations of a spatial location in a sequence of frames as input points in Euclidean space R 1 or R 3. The input points are approximated using quadratic Bezier least square fitting. The output data consists of quadratic Bezier control points and difference between original and fitted data. Video data compression is the main application of proposed method. It is shown that entropy of output data is significantly less than the entropy of input data. The method can be applied to 1-D space like luminance and chrominance components separately or 3-D color spaces such as RGB and YC b C r .
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