UNSPECIFIED (2004) Video modelling and segmentation using Gaussian mixture models. In: 17th International Conference on Pattern Recognition (ICPR), AUG 23-26, 2004, British Machine Vis Assoc, Cambridge, ENGLAND.

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Abstract

This paper describes a new approach to the video modelling and segmentation problem using Gaussian mixture model descriptors. These have several advantages over conventional, histogram-based techniques, including: a rigorous statistical basis; the possibility of encoding spatial, colour texture and motion features in a unified system; and the ability to trade off accuracy of representation against data volume. After a brief introduction to the class of models, results are presented to show their efficacy.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Series Name:	INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
Journal or Publication Title:	PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3
Publisher:	IEEE COMPUTER SOC
ISBN:	0-7695-2128-2
ISSN:	1051-4651
Editor:	Kittler, J and Petrou, M and Nixon, M
Date:	2004
Number of Pages:	4
Page Range:	pp. 854-857
Publication Status:	Published
Title of Event:	17th International Conference on Pattern Recognition (ICPR)
Location of Event:	British Machine Vis Assoc, Cambridge, ENGLAND
Date(s) of Event:	AUG 23-26, 2004
URI:	http://wrap.warwick.ac.uk/id/eprint/7712

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