Database search engines are generally used in a one-shot fashion in which a user provides query information to the system and, in return, the system provides a number of database instances to the user. A relevance feedback system allows the user to indicate to the system which of these instances are
โฆ LIBER โฆ
Content-based image retrieval using fuzzy perceptual feedback
โ Scribed by Kui Wu; Kim-Hui Yap
- Publisher
- Springer US
- Year
- 2006
- Tongue
- English
- Weight
- 554 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0942-4962
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Interactive Content-Based Image Retrieva
โ
MacArthur, Sean D. (author);Brodley, Carla E. (author);Kak, Avinash C. (author);
๐
Article
๐
2002
๐
Elsevier Science
๐
English
โ 198 KB
Interactive Content-Based Image Retrieva
โ
MacArthur, Sean D. (author);Brodley, Carla E. (author);Kak, Avinash C. (author);
๐
Article
๐
2002
๐
Elsevier Science
๐
English
โ 198 KB
Bayesian relevance feedback for content-
โ
Giorgio Giacinto; Fabio Roli
๐
Article
๐
2004
๐
Elsevier Science
๐
English
โ 222 KB
Using Human Perceptual Categories for Co
โ
Chi-Ren Shyu; Christina Pavlopoulou; Avinash C. Kak; Carla E. Brodley; Lynn S. B
๐
Article
๐
2002
๐
Elsevier Science
๐
English
โ 602 KB
It is often difficult to come up with a well-principled approach to the selection of low-level features for characterizing images for content-based retrieval. This is particularly true for medical imagery, where gross characterizations on the basis of color and other global properties do not work. A
Content-based image retrieval using asso
โ
Peng-Yeng Yin; Shin-Huei Li
๐
Article
๐
2006
๐
Elsevier Science
๐
English
โ 955 KB
Content based radiology image retrieval
โ
Savvas A. Chatzichristofis; Yiannis S. Boutalis
๐
Article
๐
2009
๐
Springer US
๐
English
โ 743 KB