Data adapting motion estimation and subsampling
F. Moschetti, Eric Debes · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Motion estimation represents the main computational burden of every hybrid video encoder. Various solutions have been proposed in order to reduce the number of operations needed for this task, trying to keep good quality of the estimation and of the relative encoded video. In this paper we propose an algorithm that, exploiting the statistical properties of the motion field, searches a number of points dynamically related to the evolution of the sequence. A subsampling pattern of the macroblock is also proposed to reduce the overall impact of the motion estimation in an MPEG encoder.