DocumentCode :
2033922
Title :
Object based 3-D motion and structure estimation
Author :
Alatan, A. Aydzn ; Onural, Levent
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume :
1
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
390
Abstract :
Motion analysis is the most crucial part of object-based coding. Motion in a 3-D environment can be analyzed better by using a 3-D motion model compared to its 2-D counterpart and hence may improve coding efficiency. Gibbs formulated joint segmentation and estimation of 2-D motion not only improves the performance, but also generates robust point correspondences which are necessary for linear 3-D motion estimation algorithms. Estimated 3-D motion parameters are used to find the structure of the previously segmented objects by minimizing another Gibbs energy. Such an approach achieves error immunity compared to linear algorithms. Experimental results are promising and hence the proposed motion and structure analysis method is a candidate to be used in object-based (or even knowledge-based) video coding schemes
Keywords :
Bayes methods; image segmentation; motion estimation; parameter estimation; video coding; 2D motion segmentation; 3D motion estimation; 3D motion parameters; 3D structure estimation; Bayesian approach; Gibbs energy; coding efficiency; error immunity; experimental results; knowledge based video coding; linear 3D motion estimation algorithms; motion analysis; object based coding; object based video coding; parameter estimation; performance; robust point correspondences; structure analysis method; Immune system; Layout; Motion analysis; Motion compensation; Motion estimation; Object segmentation; Parameter estimation; Robustness; Video coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.529728
Filename :
529728
Link To Document :
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