Fuzzy image labeling by partially supervised shape clustering

Authors:
G. Castellano;A. M. Fanelli;M. A. Torsello
Affiliations:
Computer Science Department, University of Bari "A. Moro", Bari, Italy;Computer Science Department, University of Bari "A. Moro", Bari, Italy;Computer Science Department, University of Bari "A. Moro", Bari, Italy
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

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Abstract

In this paper, a fuzzy shape annotation approach for automatic image labeling is presented. A fuzzy clustering process guided by partial supervision is applied to shapes represented by Fourier descriptors in order to derive a set of shape prototypes representative of a number of semantic categories. Next, prototypes are manually annotated by attaching textual labels related to semantic categories. Based on the labeled prototypes, a new shape is automatically labeled by associating a fuzzy set that provides membership degrees of the shape to all semantic categories. Experimental results are provided in order to show the suitability of the proposed approach.