Abstract
In this paper, a fast global motion estimation method is proposed for panoramic video coding. This method accelerates the procedure of global motion estimation (GME) during inter-frame prediction by using two techniques: 1) a compact motion model, which uses only three motion parameters to represent accurately the global motion among the successive panoramic frames. 2) A GME filter, which filters the blocks unreliable and contributing less to the GME, based on a threshold method. The experimental results show the proposed fast global motion estimation method manages to speed up the processing of estimating the motion vector field while maintaining the coding performance. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Zheng, J., Zhang, Y., & Ni, G. (2007). A fast global motion estimation method for panoramic video coding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4810 LNCS, pp. 421–424). Springer Verlag. https://doi.org/10.1007/978-3-540-77255-2_50
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