Abstract
The semantics and cognition-based (SEMCOG) image retrieval has been developed to integrate semantics and cognition-based approaches to give users greater flexibility in posing queries. SEMCOG's image matching is based on objects in the images rather than the whole images. In SEMCOG, a query 'retrieve all images in which there is a man to the right of a car and the man looks like this image' can be posed using combinations of semantics and visual expressions. The queries are posed in the way of specifying image objects in their layouts using a visual query interface, in frame query (IFQ), rather than complicated multimedia database query languages.
| Original language | English (US) |
|---|---|
| Title of host publication | SIGMOD Record (ACM Special Interest Group on Management of Data) |
| Editors | J.M. Peckman |
| Publisher | ACM |
| Pages | 521-524 |
| Number of pages | 4 |
| Volume | 26 |
| Edition | 2 |
| State | Published - Jun 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data - Tucson, AZ, USA Duration: May 13 1997 → May 15 1997 |
Other
| Other | Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data |
|---|---|
| City | Tucson, AZ, USA |
| Period | 5/13/97 → 5/15/97 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Information Systems
- Software