Exploratory Image Databases : Content-Based Retrieval
Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to search? Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called "exploration."
Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.
Example: Imagine the difficulty of building and using a database for "face recognition," where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics.
- Hardback | 613 pages
- 194 x 260 x 56mm | 1,360.77g
- 13 Sep 2001
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- w. b&w figs., 8 col. figs. on plates.
Other books in this series
16 Aug 2002
13 Sep 2001
About Simone Santini
Table of contents
1. An Eerie Sense of Deja Vu
2. The Mysterious Case of the Disappearing Semantics
3. How You Can Know You Are Right
5. Systems with Limited Ontologies
6. Systems with General Ontologies
7. Writing About Images
8. Algebra and the Modern Query
9. Where Is My Image?
10. Of Mice and Men