Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCE.2008.4711256
Title: Predictive 3D search algorithm for multi-frame motion estimation
Authors: Lim, H.Y.
Kassim, A.A. 
de With, P.H.N.
Keywords: 3D motion vector predictors
3D search pattern
Algorithm design and analysis
Automatic voltage control
Correlation
Cost function
Hexagon pattern
Motion estimation
Multi-frame motion estimation
Prediction algorithms
Three dimensional displays
Issue Date: 2008
Source: Lim, H.Y.,Kassim, A.A.,de With, P.H.N. (2008). Predictive 3D search algorithm for multi-frame motion estimation. IEEE Transactions on Consumer Electronics 54 (4) : 1938-1946. ScholarBank@NUS Repository. https://doi.org/10.1109/TCE.2008.4711256
Abstract: Multi-frame motion estimation introduced in recent video standards such as H.264/AVC, helps to improve the rate-distortion performance and hence the video quality. This, however, comes at the expense of having a much higher computational complexity. In multi-frame motion estimation, there exists strong temporal correlation between the reference frames, which is not efficiently exploited in single-frame block-matching algorithms. In this paper, we propose a 3D motion search scheme which exploits the temporal correlation by using new 3D search patterns and motion vector predictors to obtain more accurate search centers. Compared to full search, our proposed algorithm results in PSNR losses of within 0.2 dB, while achieving a significantly lower motion estimation time by at least 96%. Furthermore, our results show that the proposed scheme is also significantly better than existing fast motion estimation algorithms for high-motion sequences. © 2008 IEEE.
Source Title: IEEE Transactions on Consumer Electronics
URI: http://scholarbank.nus.edu.sg/handle/10635/57112
ISSN: 00983063
DOI: 10.1109/TCE.2008.4711256
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