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Proceedings Paper

Global motion estimation algorithm for video segmentation
Author(s): Edmundo Saez; Jose Manuel Palomares; Jose Ignacio Benavides; Nicolas Guil
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Paper Abstract

This work presents a new global motion estimation algorithm for MPEG compressed video sequences. It makes use of a feature extraction technique based on the Generalized Hough Transform, which is able to provide rotation, scale and displacement parameters when comparing two different frames from a video sequence. Thus, pan, tilt, swing (rotation along z-axis) and zoom effects will be studied using the proposed algorithm. DC coefficients of the DCT transform are extracted from the MPEG stream and used to create DC images, which are the starting point for the global motion estimation algorithm. Further application of the feature extraction technique to DC images will allow to perform motion estimation, reducing processing time as the decompression process is avoided. Pseudocode and details about the implementation of the algorithm as well as statistics to illustrate the efficiency of the algorithm are provided.

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503088
Show Author Affiliations
Edmundo Saez, Univ. de Cordoba (Spain)
Jose Manuel Palomares, Univ. de Cordoba (Spain)
Jose Ignacio Benavides, Univ. de Cordoba (Spain)
Nicolas Guil, Univ. de Malaga (Spain)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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