Title :
Retrieval method for multi-category images
Author :
Tanaka, Hiroyuki ; Sakano, Hitoshi ; Ohtsuka, Sakuichi
Author_Institution :
Res. & Dev. Headquarters, NTT Data Corp., Tokyo, Japan
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;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334419