Semantic image annotation via hierarchical classification
Authors: Ntalianis, Klimis 
Tsapatsoulis, Nicolas 
Publisher: WSEAS
Issue Date: 1-Oct-2008
Conference: 10th WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '08) and 7th WSEAS International Conference on Non-Linear Analysis, Non-linear Systems and Chaos (NOLASC'08) and 8th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'08), 26-28 October 2008, Corfu, Greece 
Book: Mathematical Methods, Computational Techniques, Non-linear Systems, Intelligent Systems: Proceedings of the 10th WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '08) and Proceedings of the 7th WSEAS International Conference on Non-Linear Analysis, Non-linear Systems and Chaos (NOLASC'08) and Proceedings of the 8th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'08) 
Keywords: Semantic image annotation, Image segmentation, Region-growing, Supervised learning, Hierarchical classification, Multimedia content description interface
Abstract: 
In this paper we address some of the issues commonly encountered in automatic image annotation systems such as simultaneous labeling with keywords corresponding to both abstract terms and object classes, multiple keyword assignment, and low accuracy of labeling due to concurrent categorization to multiple classes. We propose a hierarchical classification scheme which is based on predefined XML-dic...
ISBN: 978-960-474-012-3
ISSN: 1790-2769
URI: https://uniwacris.uniwa.gr/handle/3000/2866
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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