DocumentCode :
329937
Title :
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
Link To Document :
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