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