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Proceedings Paper

Frame rate up conversion via Bayesian motion estimation
Author(s): Yue Wang; Siwei Ma; Wen Gao
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Paper Abstract

In this paper, a novel block-based motion compensated frame interpolation (MCI) algorithm is proposed to enhance the temporal resolution of video sequences. We formulated motion estimation into MAP framework, and solved it via Bayesian belief propagation. By effectively incorporating a priori knowledge of the motion field and optimizing the whole motion field synchronously, it could derive more accurate motion vectors than traditional methods. Finally, adaptive overlapped block motion compensation (OBMC) is used to reduce blocking artifacts. Experimental results show that the proposed method outperforms other methods in both objective and subjective quality.

Paper Details

Date Published: 4 August 2010
PDF: 8 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442L (4 August 2010); doi: 10.1117/12.863363
Show Author Affiliations
Yue Wang, Graduate Univ. of the Chinese Academy of Sciences (China)
Siwei Ma, Peking Univ. (China)
Wen Gao, Peking Univ. (China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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