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Statistical model based video segmentation and its application to very low bit rate video coding
Chicago, Illinois October 04-October 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIP.1998.7272321998 International Conference on Imag ...
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H. Luo, J. Kouloheris, A. Eleftheriadis, "Statistical model based video segmentation and its application to very low bit rate video coding," Image Processing, International Conference on, vol. 3, pp. 438, 1998 International Conference on Image Processing (ICIP'98) - Volume 3, 1998.
 
 
BibTex
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@article{ 10.1109/ICIP.1998.727232,
author = {H. Luo and J. Kouloheris and A. Eleftheriadis},
title = {Statistical model based video segmentation and its application to very low bit rate video coding},
journal ={Image Processing, International Conference on},
volume = {3},
year = {1998},
isbn = {0-8186-8821-1},
pages = {438},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1998.727232},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Processing, International Conference on
TI - Statistical model based video segmentation and its application to very low bit rate video coding
SN - 0-8186-8821-1
SP
EP
A1 - H. Luo,
A1 - J. Kouloheris,
A1 - A. Eleftheriadis,
PY - 1998
KW - null
VL - 3
JA - Image Processing, International Conference on
ER -
 
H. Luo, Dept. of Electr. Eng., Columbia Univ., New York, NY
J. Kouloheris, Dept. of Electr. Eng., Columbia Univ., New York, NY
A. Eleftheriadis, Dept. of Electr. Eng., Columbia Univ., New York, NY
We present a statistical model-based video segmentation algorithm for typical videophone and video-conference applications. This algorithm makes use of online information and tries to build statistical models for both background and foreground and update the models on the fly. A hierarchical system structure is designed and segmentation is combined with tracking. Two possible applications are discussed: to generate VOP for MPEG-4 and to introduce subjective rate control for DCT-based algorithms. A rate distortion based rate control algorithm for H.263 is proposed and implemented as an example
Citation:
H. Luo, J. Kouloheris, A. Eleftheriadis, "Statistical model based video segmentation and its application to very low bit rate video coding," icip, vol. 3, pp.438, 1998 International Conference on Image Processing (ICIP'98) - Volume 3, 1998
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