DocumentCode
531809
Title
Bag-of-words classification of miniature illustrations
Author
Grana, Costantino ; Borghesani, Daniele ; Gualdi, Giovanni ; Cucchiara, Rita
Author_Institution
Univ. Degli Studi di Modena e Reggio Emilia, Modena, Italy
fYear
2010
fDate
12-14 April 2010
Firstpage
1
Lastpage
4
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 Naïve Bayes and histogram intersection distance measures.
Keywords
Bayes methods; image classification; object recognition; Naive Bayes; SURF descriptors; automatically extracted miniatures; bag-of-keypoints strategy; bag-of-words classification; histogram intersection distance measures; illuminated manuscripts images analysis; image classification; miniature illustrations; object recognition; scene recognition; Animals; Detectors; Error analysis; Histograms; Training; Visualization; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
Conference_Location
Desenzano del Garda
Print_ISBN
978-1-4244-7848-4
Electronic_ISBN
978-88-905328-0-1
Type
conf
Filename
5617658
Link To Document