Name
Abstract | ||
|---|---|---|
In this paper, we present a digital information retrieval system- The digital information (images) include both low Ieve features such as color, texture, shape and high level features such as spatial constraints of relevant regions and keywords. Features are powerfully represented. For example, shape features are encoded for scale, rotation and translation invariance. Based on object technology, the digital information features and behaviors are modeled and stored in a database. Images can be retrieved by examples (show me images similar to this image) or by selecting properties from pickers such as a sketched shape, a color histogram, a spatial constraint interface, a list of keywords and a combination of these. The integration of high and low level features in the object-oriented database is animportant property of our work. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1145/266714.266893 | International Conference on Information and Knowledge Management |
Keywords | Field | DocType |
digital information retrieval,information retrieval,sequences,interpolation,indexing,color histogram,information retrieval system | Information retrieval,Query expansion,Computer science,Interpolation,Search engine indexing,Vector space model,Concept search,Visual Word | Conference |
ISBN | Citations | PageRank |
0-89791-970-X | 2 | 0.48 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chabane Djeraba | 1 | 1369 | 109.27 |
| marinette Bouet | 2 | 32 | 7.01 |