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An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture
Takamatsu, Japan December 07-December 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/APSEC.1999.809599Sixth Asia-Pacific Software Engineeri ...
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Kent K.T. Cheung, Horace H.S. Ip, Ringo Lam, R. Hanka, Lilian H.Y. Tang, Grant Fuller, "An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture," Asia-Pacific Software Engineering Conference, pp. 174, Sixth Asia-Pacific Software Engineering Conference (APSEC'99), 1999.
 
 
BibTex
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@article{ 10.1109/APSEC.1999.809599,
author = {Kent K.T. Cheung and Horace H.S. Ip and Ringo Lam and R. Hanka and Lilian H.Y. Tang and Grant Fuller},
title = {An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture},
journal ={Asia-Pacific Software Engineering Conference},
volume = {0},
year = {1999},
issn = {1530-1362},
pages = {174},
doi = {http://doi.ieeecomputersociety.org/10.1109/APSEC.1999.809599},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asia-Pacific Software Engineering Conference
TI - An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture
SN - 1530-1362
SP
EP
A1 - Kent K.T. Cheung,
A1 - Horace H.S. Ip,
A1 - Ringo Lam,
A1 - R. Hanka,
A1 - Lilian H.Y. Tang,
A1 - Grant Fuller,
PY - 1999
VL - 0
JA - Asia-Pacific Software Engineering Conference
ER -
 
Kent K.T. Cheung, City University of Hong Kong
Horace H.S. Ip, City University of Hong Kong
Ringo Lam, City University of Hong Kong
R. Hanka, University of Cambridge
Lilian H.Y. Tang, University of Cambridge
Grant Fuller, University of Cambridge
This paper reports a generic object-oriented framework for content-based image retrieval systems. It is designed so that basic data structures and functionality of a typical content-based image retrieval (CBIR) system are provided without sacrificing speed and flexibility. The framework is based on a 5-tier architecture that allows modules in different tiers to be developed independently and thus flexibility is ensured. We show in this paper that our framework is able to adapt to a wide range of CBIR applications by applying the framework to the development of two on-going projects: a trademark image retrieval system and a medical (histological) image retrieval system. These applications are briefly discussed.
Citation:
Kent K.T. Cheung, Horace H.S. Ip, Ringo Lam, R. Hanka, Lilian H.Y. Tang, Grant Fuller, "An Object-Oriented Framework for Content-Based Image Retrieval Based on 5-Tier Architecture," apsec, pp.174, Sixth Asia-Pacific Software Engineering Conference (APSEC'99), 1999
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