A fast global motion estimation method for panoramic video coding

Authors:
Jiali Zheng;Yongdong Zhang;GuangNan Ni
Affiliations:
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, Beijing, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, Beijing, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Graduate School of the Chinese Academy of Sciences, Beijing, China
Venue:
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Year:
2007

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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.