17th International Conference on Pattern Recognition (ICPR'04) - Volume 2 Retrieval Method for Multi-category Images Cambridge UK August 23-August 26 ISBN: 0-7695-2128-2
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 multi-category 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.
Citation:
Hiroyuki Tanaka, Hitoshi Sakano, Sakuichi Ohtsuka, "Retrieval Method for Multi-category Images," icpr, vol. 2, pp.965-968, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||