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1998 International Conference on Image Processing (ICIP'98) - Volume 3
Statistical model based video segmentation and its application to very low bit rate video coding
Chicago, Illinois
October 04-October 07
ISBN: 0-8186-8821-1
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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