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
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;
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2585-1
DOI :
10.1109/IPTA.2012.6469543