Video modelling and segmentation using Gaussian mixture models
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.Full text not available from this repository.
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|
|Editor:||Kittler, J and Petrou, M and Nixon, M|
|Number of Pages:||4|
|Page Range:||pp. 854-857|
|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|
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