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Proceedings Paper

Predictive video decoding using GME and motion reliability
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Paper Abstract

In this paper, we present an improved approach to predictive video decoding based on global and local motion reliability. The framework consists of three processing stages. Global motion (GM) estimation and motion reliability analysis are the key components in the first stage, where we model global motion and refine the MV field. In the second stage, we predict local and global motion for the target frame, and determine corresponding weights based on the Linear Minimum Mean Square Error (LMMSE) criterion. Finally in the third stage, a temporal interpolator is applied to compose two future frames, which are linearly combined to form the final predicted frame. Our results indicate the proposed method achieves better visual quality compare to other state-of-the-art predictive decoding approaches, particularly in sequences involving moving camera and objects.

Paper Details

Date Published: 24 September 2011
PDF: 9 pages
Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81350O (24 September 2011); doi: 10.1117/12.892379
Show Author Affiliations
Yue-Meng Chen, Simon Fraser Univ. (Canada)
Ivan V. Bajić, Simon Fraser Univ. (Canada)


Published in SPIE Proceedings Vol. 8135:
Applications of Digital Image Processing XXXIV
Andrew G. Tescher, Editor(s)

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