@inproceedings{Xiaohuan2005,
abstract = {A multiple global affine motion model is proposed for low bit rate video compression. Block-wise motion segmentation is first performed with the number of motion objects L predefined. The affine motion models for multiple MOs are estimated and coded in the frame header. The scaling parameters al, a2, a4 and a5 are coded with a 4-dimensional vector-quantizer (VQ), whose 16 most recently used code words are maintained on line and searched for VQ match, and the 300-word long main code book stored offline. The translational parameters a3 and a6 are coded predicatively as a classical motion vector. L new macro-block modes are added to the standard's list of 7 infra and inter modes. No segmentation information is transmitted, for the mode already indicates that if one of the affine modes is selected by Lagrange rate-distortion optimization. A metric S is defined to measure locality of the motion and will disable use of affine models when a threshold is surpassed. Simulation shows that abut 20-40% of the MB's choose one of the affine modes. When 100kbps or lower band widths are available, the proposed codec not only saves 1-18% bit rate, but also enhances error-resilience in multiple slice frames and reduces blocking artifacts notably. {\textcopyright} 2005 SPIE and IS&T.},
author = {Li, Xiaohuan and Jackson, Joel R. and Katsaggelos, Aggelos K. and Merserau, Russel M.},
booktitle = {Image and Video Communications and Processing 2005},
doi = {10.1117/12.587328},
editor = {Said, Amir and Apostolopoulos, John G.},
issn = {0277786X},
month = {mar},
pages = {185},
title = {{Multiple global affine motion model for H.264 video coding with low bit rate}},
url = {http://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.587328},
volume = {5685},
year = {2005}
}

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No segmentation information is transmitted, for the mode already indicates that if one of the affine modes is selected by Lagrange rate-distortion optimization. A metric S is defined to measure locality of the motion and will disable use of affine models when a threshold is surpassed. Simulation shows that abut 20-40% of the MB's choose one of the affine modes. 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