dvmmPub84

Huitao Luo, Alexandros Eleftheriadis. Statistic Model Based Video Segmentation and Its Application to Very Low Bit Rate Video Coding. In IEEE Internation Conference on Image Processing (ICIP), Chicago, IL, October 1998.

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Abstract

We present a statistical model-based video segmentation algorithm for typical videophone and videoconference applications. This algorithm makes use of on-line information and tries to build statistical models for both background and foreground and update the models on the y. 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 R-D based rate control algorithm for H.263 is proposed and implemented as an example

BibTex Reference

@InProceedings{dvmmPub84,
   Author = {Luo, Huitao and Eleftheriadis, Alexandros},
   Title = {Statistic Model Based Video Segmentation and Its Application to Very Low Bit Rate Video Coding},
   BookTitle = {IEEE Internation Conference on Image Processing (ICIP)},
   Address = {Chicago, IL},
   Month = {October},
   Year = {1998}
}

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