TY - GEN
T1 - A hierarchical statistical model for object classification
AU - Bakhtiari, Ali Shojaee
AU - Bouguila, Nizar
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - In many applications it is necessary to be able to classify images in a database accurately and with acceptable speed. The main problem is to assign different images to right categories. The later problem becomes more challenging while dealing with large databases with many categories and subcategories. In this paper we propose a novel classification method based on an adopted hierarchical Dirichlet generative model, previously proposed for corpora document classification. In order to adopt the model to work with image data we use the bag of visual words model. We show that if properly applied the model can achieve adequate results for hierarchical image classification. Experimental results are presented and discussed to show the merits of the proposed approach.
AB - In many applications it is necessary to be able to classify images in a database accurately and with acceptable speed. The main problem is to assign different images to right categories. The later problem becomes more challenging while dealing with large databases with many categories and subcategories. In this paper we propose a novel classification method based on an adopted hierarchical Dirichlet generative model, previously proposed for corpora document classification. In order to adopt the model to work with image data we use the bag of visual words model. We show that if properly applied the model can achieve adequate results for hierarchical image classification. Experimental results are presented and discussed to show the merits of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=78650855855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650855855&partnerID=8YFLogxK
U2 - 10.1109/MMSP.2010.5662071
DO - 10.1109/MMSP.2010.5662071
M3 - Conference contribution
AN - SCOPUS:78650855855
SN - 9781424481125
T3 - 2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010
SP - 493
EP - 498
BT - 2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010
T2 - 2010 IEEE International Workshop on Multimedia Signal Processing, MMSP2010
Y2 - 4 October 2010 through 6 October 2010
ER -