Title :
Object-based motion classification
Author :
Motsch, J. ; Nicolas, H.
Author_Institution :
Temics Project, IRISA, Rennes, France
Abstract :
With the development of object-based video representations such as MPEG-4, object based video manipulations applications become more and more important, such as 2D video scene composition. Semi-automatic algorithms designed to perform that task use meaningful informations about the behavior of the video object in the original sequence. This article proposes a method to split the sequence in temporal segments in which the object-camera orientation is either constant or changing. Then, a key view can be extracted for each segment. This video object sequence decomposition relies on the meaning of the affine motion model parameters obtained with a robust estimation algorithm.
Keywords :
image classification; image segmentation; motion estimation; parameter estimation; video signal processing; affine motion model parameters; motion classification; object-camera orientation; robust estimation; video object sequence; video representations; video scene composition; Algorithm design and analysis; Data mining; Layout; MPEG 4 Standard; Motion estimation; Parametric statistics; Production; Robustness; Tracking; Video sequences;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.822863