DocumentCode
419703
Title
Retrieval method for multi-category images
Author
Tanaka, Hiroyuki ; Sakano, Hitoshi ; Ohtsuka, Sakuichi
Author_Institution
Res. & Dev. Headquarters, NTT Data Corp., Tokyo, Japan
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
965
Abstract
We propose an image retrieval technique based on multiple categories. Generally, an image can be associated with many concepts or objects. When concepts or objects are regarded as categories, an image could have multiple labels corresponding to these categories. Thus, image retrieval based on multiple categories would be an important technology for an image database system. To realize multicategory image retrieval, we employ the PMM (parametric mixture model) of multi-category text classification. We carried out multi-category image classification experiments using PMM and the color histogram feature. The experimental results show the possibility of multi-category image classification and retrieval using PMM.
Keywords
image classification; image retrieval; visual databases; color histogram feature; image database system; image retrieval technique; multicategory image classification; multicategory images; multicategory text classification; parametric mixture model; Artificial intelligence; Frequency; Histograms; Image classification; Image databases; Image retrieval; Information retrieval; Research and development; Text categorization; Text processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334419
Filename
1334419
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