In this paper a system for illuminated manuscripts images analysis is presented. In particular the bag-of-keypoints strategy, commonly adopted for object recognition, image classification and scene recognition, is applied to the classification of automatically extracted miniatures. Pictures are characterized by SURF descriptors, and a classification procedure is performed, comparing the results of Naive Bayes and histogram intersection distance measures.
Bag-Of-Words Classification of Miniature Illustrations / Grana, Costantino; Borghesani, Daniele; Gualdi, Giovanni; Cucchiara, Rita. - ELETTRONICO. - (2010), pp. 61-64. (Intervento presentato al convegno 11th International Workshop on Image Analysis for Multimedia Interactive Services tenutosi a Desenzano del Garda, Brescia, Italy nel Apr 12-14).
Bag-Of-Words Classification of Miniature Illustrations
GRANA, Costantino;BORGHESANI, Daniele;GUALDI, Giovanni;CUCCHIARA, Rita
2010
Abstract
In this paper a system for illuminated manuscripts images analysis is presented. In particular the bag-of-keypoints strategy, commonly adopted for object recognition, image classification and scene recognition, is applied to the classification of automatically extracted miniatures. Pictures are characterized by SURF descriptors, and a classification procedure is performed, comparing the results of Naive Bayes and histogram intersection distance measures.
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