Abstract
Most image database prototypes and products focus mainly on similarity searches over syntactic features of images. DISIMA aims at providing querying on both syntactic and semantic features of images. The content of an image is viewed as a set of salient objects (regions of interest). Salient objects are organized into two levels: physical salient objects that store syntactic features and logical salient objects that give the semantics. DISIMA integrates a declarative query language (MOQL) and a visual query language VisualMOQL.
Original language | English (US) |
---|---|
Pages | 672-673 |
Number of pages | 2 |
State | Published - 2000 |
Externally published | Yes |
Event | 2000 IEEE 16th International Conference on Data Engineering (ICDE'00) - San Diego, CA, USA Duration: Feb 29 2000 → Mar 3 2000 |
Conference
Conference | 2000 IEEE 16th International Conference on Data Engineering (ICDE'00) |
---|---|
City | San Diego, CA, USA |
Period | 2/29/00 → 3/3/00 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Information Systems