English  |  正體中文  |  简体中文  |  Items with full text/Total items : 43312/67235
Visitors : 2149395      Online Users : 5
RC Version 5.0 © Powered By DSPACE, MIT. Enhanced by NTU/NCHU Library IR team.
National Chung Hsing University Institutional Repository - NCHUIR > 理學院 > 理學院 > 依資料類型分類 > 期刊論文 >  Symbolic picture retrieval by relative-metric spatial relations

Please use this identifier to cite or link to this item: http://nchuir.lib.nchu.edu.tw/handle/309270000/133566

標題: Symbolic picture retrieval by relative-metric spatial relations
作者: Huang, P.W.;Lin, P.L.
關鍵字: databases
日期: 2000
Issue Date: 2012-12-14 10:04:02 (UTC+8)
關連: International Journal of Intelligent Systems, Volume 15, Issue 6, Page(s) 525-534.
摘要: Symbolic pictures can be used for iconic indexing, spatial reasoning, and similarity 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 Pictorial Information Systems Design, Prentice-Hall, New York, 1989.] However, previous approaches to designing such systems usually ignore relative-metric information on symbolic pictures and cause several deficiencies in indexing, spatial reasoning, and retrieval. In our approach, we extract relative-metric information from symbolic pictures and use such information to help establish 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 representation/processing are also improved. By utilizing relative-metric spatial relations, an image database system becomes more flexible and intelligent. (C) 2000 John Wiley & Sons, Inc.
Relation: International Journal of Intelligent Systems
Appears in Collections:[依資料類型分類] 期刊論文
[依教師分類] 黃博惠
[依教師分類] 黃博惠

loading Web of Knowledge data....

Files in This Item:

File Description SizeFormat






聯絡網站維護人員:wyhuang@nchu.edu.tw,04-22840290 # 412。

DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU/NCHU Library IR team Copyright ©   - Feedback