Neural networks retraining for unsupervised video object segmentation of videoconference sequences
Authors: Ntalianis, Klimis 
Doulamis, Anastasios 
Kollias, Stefanos 
Doulamis, Nikolaos 
Issue Date: 1-Jan-2002
Conference: International Conference on Artificial Neural Networks (ICANN 2002), 28-30 August 2002, Madrid, Spain 
Book: Artificial Neural Networks - ICANN 2002 
Series: Lecture Notes in Computer Science
Abstract: 
In this paper efficient performance generalization of neural network classifiers is accomplished, for unsupervised video object segmentation in videoconference/videophone sequences. Each time conditions change, a retraining phase is activated and the neural network classifier is adapted to the new environment. During retraining both the former and current knowledge are utilized so that good networ...
ISBN: 978-3-540-46084-8
978-3-540-44074-1
ISSN: 1611-3349
DOI: 10.1007/3-540-46084-5_212
URI: https://uniwacris.uniwa.gr/handle/3000/2853
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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