Symbolic picture retrieval by relative-metric spatial relations

Authors
Citation
Pw. Huang et Pl. Lin, Symbolic picture retrieval by relative-metric spatial relations, INT J INTEL, 15(6), 2000, pp. 525-534
Citations number
8
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
ISSN journal
08848173 → ACNP
Volume
15
Issue
6
Year of publication
2000
Pages
525 - 534
Database
ISI
SICI code
0884-8173(200006)15:6<525:SPRBRS>2.0.ZU;2-I
Abstract
Symbolic pictures can be used for iconic indexing, spatial reasoning, and s imilarity retrieval in the design of intelligent image database systems. [S . K. Chang, C. W. Yan, Donald C. Dimitroff, and Timothy Arndt, IEEE Trans. Software Engineering 1988, 14, 681-688; S.-K. Chang, Principles of Pictoria l Information Systems Design, Prentice-Hall, New York, 1989.] However, prev ious approaches to designing such systems usually ignore relative-metric in formation on symbolic pictures and cause several deficiencies in indexing, spatial reasoning, and retrieval. In our approach, we extract relative-metr ic information from symbolic pictures and use such information to help esta blish indexes based on an improvement from a minimal perfect hashing scheme . As a result, more accurate picture retrieval can be achieved through our indexing mechanism. Capabilities in spatial reasoning and query representat ion/processing are also improved. By utilizing relative-metric spatial rela tions, an image database system becomes more flexible and intelligent. (C) 2000 John Wiley & Sons, Inc.