Fuzzy Content-Based Retrieval in Image Databases

Image data are inherently visual. The description of visual characteristics of images are imprecise. Fuzzy retrieval of images stored in a feature-based image database is a natural means to access the data. Unfortunately, to the authors knowledge, little work has been done on fuzzy image database mo...

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Main Authors: JIAN, Kang Wu, NARASIMHALU, Arcot Desai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1998
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Online Access:https://ink.library.smu.edu.sg/sis_research/61
http://dx.doi.org/10.1016/s0306-4573(98)00017-x
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spelling sg-smu-ink.sis_research-10602011-01-07T03:43:35Z Fuzzy Content-Based Retrieval in Image Databases JIAN, Kang Wu NARASIMHALU, Arcot Desai Image data are inherently visual. The description of visual characteristics of images are imprecise. Fuzzy retrieval of images stored in a feature-based image database is a natural means to access the data. Unfortunately, to the authors knowledge, little work has been done on fuzzy image database models and fuzzy retrieval of feature-based image databases. In this paper, a fuzzy image database model and a concept of fuzzy space are proposed and fuzzy query processing in fuzzy space and fuzzy indexing on complex fuzzy vectors are described. An example image database, the computer-aided facial image inference and retrieval system (CAFIIR), is used for explanation throughout the paper. 1998-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/61 info:doi/10.1016/s0306-4573(98)00017-x http://dx.doi.org/10.1016/s0306-4573(98)00017-x Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Numerical Analysis and Scientific Computing
spellingShingle Computer Sciences
Numerical Analysis and Scientific Computing
JIAN, Kang Wu
NARASIMHALU, Arcot Desai
Fuzzy Content-Based Retrieval in Image Databases
description Image data are inherently visual. The description of visual characteristics of images are imprecise. Fuzzy retrieval of images stored in a feature-based image database is a natural means to access the data. Unfortunately, to the authors knowledge, little work has been done on fuzzy image database models and fuzzy retrieval of feature-based image databases. In this paper, a fuzzy image database model and a concept of fuzzy space are proposed and fuzzy query processing in fuzzy space and fuzzy indexing on complex fuzzy vectors are described. An example image database, the computer-aided facial image inference and retrieval system (CAFIIR), is used for explanation throughout the paper.
format text
author JIAN, Kang Wu
NARASIMHALU, Arcot Desai
author_facet JIAN, Kang Wu
NARASIMHALU, Arcot Desai
author_sort JIAN, Kang Wu
title Fuzzy Content-Based Retrieval in Image Databases
title_short Fuzzy Content-Based Retrieval in Image Databases
title_full Fuzzy Content-Based Retrieval in Image Databases
title_fullStr Fuzzy Content-Based Retrieval in Image Databases
title_full_unstemmed Fuzzy Content-Based Retrieval in Image Databases
title_sort fuzzy content-based retrieval in image databases
publisher Institutional Knowledge at Singapore Management University
publishDate 1998
url https://ink.library.smu.edu.sg/sis_research/61
http://dx.doi.org/10.1016/s0306-4573(98)00017-x
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