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Proceedings Paper

A robust approach to global motion estimation for content-based video analysis
Author(s): Michael Hoynck; Michael Unger; Jens Wellhausen; Jens-Rainer Ohm
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Paper Abstract

With the multimedia content description interface MPEG-7, we have powerful tools for video indexing, based on which content-based search-and-retrieval with respect to separate shots and scenes in video can be performed. We especially focus on the parametric motion descriptor. The motion parameters, being finally coded in the descriptor values, require robust content extraction methods. In this paper, we introduce our approach to the extraction of global motion from video. For this purpose, we apply a constraint feature point selection and matching approach in order to find correspondences in images. Subsequently, an M-estimator is used for robust estimation of the motion model parameters. We evaluate the performance of our approach using affine and biquadratic motion models, also in comparison with a standard least-median-of-squares based approach to global motion estimation.

Paper Details

Date Published: 25 October 2004
PDF: 10 pages
Proc. SPIE 5601, Internet Multimedia Management Systems V, (25 October 2004); doi: 10.1117/12.578798
Show Author Affiliations
Michael Hoynck, RWTH Aachen (Germany)
Michael Unger, RWTH Aachen (Germany)
Jens Wellhausen, RWTH Aachen (Germany)
Jens-Rainer Ohm, RWTH Aachen (Germany)

Published in SPIE Proceedings Vol. 5601:
Internet Multimedia Management Systems V
John R. Smith; Tong Zhang; Sethuraman Panchanathan, Editor(s)

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