DocumentCode :
598801
Title :
Impact of hierarchical structures in image categorization systems
Author :
Klaghstan, Merza ; Haensch, R. ; Coquil, David ; Hellwich, Olaf
Author_Institution :
Dept. of Distrib. & Multimedia Inf. Syst., Univ. of Passau, Passau, Germany
fYear :
2012
fDate :
15-18 Oct. 2012
Firstpage :
367
Lastpage :
370
Abstract :
Image categorization refers to the process of assigning images to a number of predefined categories. The difficulty of problem solving is proportional to the number of categories the system addresses. This paper proposes an image categorization system, and studies the impact of dividing the categorization problem into smaller problems in a hierarchical structure. We compare examples solved with and without the proposed approach, to conclude its pros and cons.
Keywords :
feature extraction; image classification; learning (artificial intelligence); hierarchical structure; image assignment; image categorization system; Accuracy; Clustering algorithms; Feature extraction; Histograms; Image color analysis; Testing; Vectors; Dimensionality reduction; Features extraction; Hierarchical structure; Image categorization; Learning; Subproblem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Conference_Location :
Istanbul
ISSN :
2154-5111
Print_ISBN :
978-1-4673-2585-1
Type :
conf
DOI :
10.1109/IPTA.2012.6469543
Filename :
6469543
Link To Document :
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