Abstract
Image data is structurally more complex than traditional types of data. An image can be viewed as a compound object containing many sub-objects. Each sub-object corresponds to image regions that are visually and semantically meaningful (e.g. car, man, and etc). We introduce a hierarchical structure for image modeling that supports image retrieval, at both whole-image and object levels, using combinations of semantics expressions and visual examples. We present formal definition of a multimedia query language, we give details of the implementation and query processing, and we discuss our methods for merging similarities from different types of query criteria.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - International Conference on Data Engineering |
| Editors | Anon |
| Place of Publication | Los Alamitos, CA, United States |
| Publisher | IEEE Comp Soc |
| Pages | 284-291 |
| Number of pages | 8 |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Proceedings of the 1998 14th International Conference on Data Engineering - Orlando, FL, USA Duration: Feb 23 1998 → Feb 27 1998 |
Other
| Other | Proceedings of the 1998 14th International Conference on Data Engineering |
|---|---|
| City | Orlando, FL, USA |
| Period | 2/23/98 → 2/27/98 |
ASJC Scopus subject areas
- Software
- Engineering(all)
- Engineering (miscellaneous)