Abstract | ||
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Image Database Management Systems (IDBMS) aim to store large collections of images, andto support efficient content-based retrieval. In this paper we explore the idea of image datamodeling as a tool for describing image domains, with the twofold objectives of guiding featureextraction and incorporating semantics into the extracted summaries of images. We discuss theimplementation of these ideas in the PIQ image DBMS, and demonstrate that significat gainsin the expressiveness of... |
Year | Venue | Keywords |
---|---|---|
1996 | IEEE Data Eng. Bull. | data model,management system |
Field | DocType | Volume |
Data mining,Data modeling,Automatic image annotation,Information retrieval,Computer science,Data retrieval,Component-oriented database,Database | Journal | 19 |
Issue | Citations | PageRank |
4 | 5 | 7.29 |
References | Authors | |
1 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Uri Shaft | 1 | 1050 | 107.01 |
Raghu Ramakrishnan | 2 | 12649 | 2243.05 |