Statistical model based video segmentation and its application to very low bit rate video coding

Author

Luo, Huitao ; Kouloheris, Jack ; Eleftheriadis, Alexandros

Author_Institution

Dept. of Electr. Eng., Columbia Univ., New York, NY, USA

fYear

1998

fDate

4-7 Oct 1998

Firstpage

438

Abstract

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

Keywords

data compression; discrete cosine transforms; image segmentation; rate distortion theory; statistical analysis; teleconferencing; transform coding; video coding; videotelephony; DCT-based algorithms; H.263; MPEG-4; VOP; algorithm; background; foreground; hierarchical system structure; online information; rate distortion based rate control algorithm; statistical model based video segmentation; subjective rate control; tracking; very low bit rate video coding; video-conference applications; videophone applications; Bit rate; Cameras; Focusing; Hierarchical systems; Image segmentation; Integrated circuit modeling; Lifting equipment; MPEG 4 Standard; Rate-distortion; Video coding; Videoconference;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.727232

Filename

727232