An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting
作者： Murtaza Ali Khan
关键词:
摘要: This paper presents an efficient method for approximation of temporal video data using linear Bezier fitting. For a given sequence frames, the proposed estimates intensity variations each pixel in dimension fitting Euclidean space. Fitting segment ensures upper bound specified mean squared error. Break and fit criteria is employed to minimize number segments required data. The well suitable lossy compression automates process pixel. Experimental results show that yields good both terms objective subjective quality measurement parameters without causing any blocking artifacts.
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