MOSAIC: A Multi-Feature Access Method for Large Image Databases

In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC...

Full description

Saved in:
Bibliographic Details
Main Authors: Goh, Shen-Tat, Tan, Kian-Lee
Format: Book Chapter
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Exact sciences and technology
Image Retrieval
Index Structure
Information systems. Data bases
Memory organisation. Data processing
Mosaic Structure
Range Query
Relevant Image
Software
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 871
container_issue
container_start_page 862
container_title
container_volume 1677
creator Goh, Shen-Tat
Tan, Kian-Lee
description In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC organizes images based on color, size and spatial location of clusters extracted from the images. We evaluated MOSAIC, and our results show that it is able to prune the search space and retrieve relevant images quickly.
doi_str_mv 10.1007/3-540-48309-8_81
format book_chapter
fullrecord <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_1826192</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6485640_933_881</sourcerecordid><originalsourceid>FETCH-LOGICAL-p2271-e8169d62f1e1086b348a664279274f8c4da524dbae04814b395ea8f343cc061e3</originalsourceid><addsrcrecordid>eNqNkD1PAzEMhsOnKIWd8QbWQBLncgkLqspXpVYMwBz5Ul8plF5JrgP_nrTlB-DBlvz6seyXsQsprqQQ1TXwUguuLQjHrbdyj51C7mwbdp_1pJGSA2h3sBOM0Vk7ZD0BQnFXaThmPVfasnROmhN2ntKHyAFKae167Hby_DIYDW-KQTFZL7o5fyDs1pGKQQiUUjGh7r2dFk0bizHGGRWjL8z5DjusMVE6Y0cNLhKd_9U-e3u4fx0-8fHz42g4GPOVUpXkZKVxU6MaSVJYU4O2mE9VlVOVbmzQUyyVntZI-TWpa3AloW1AQwjCSII-u9ztXWEKuGgiLsM8-VWcf2H88dIqI53KY1e7sZSV5Yyir9v2M3kp_MZODz575Lfu-Y2dGdB_e2P7vabUedoQgZZdxEV4x1VHMXmjbWky6QC83WLwHwxEpZwuva0yJeAXC06Bbw</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC3072945_87_880</pqid></control><display><type>book_chapter</type><title>MOSAIC: A Multi-Feature Access Method for Large Image Databases</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Goh, Shen-Tat ; Tan, Kian-Lee</creator><contributor>Hartmanis, J ; Bench-Capon, Trevor ; Goos, G ; Soda, Giovanni ; Tjoa, A. Min ; Tjoa, A. Min ; Leeuwen, J. van ; Soda, Giovanni ; Soda, Giovanni ; Bench-Capon, Trevor ; Tjoa, A. Min ; Soda, Giovanni ; Bench-Capon, Trevor J.M. ; Tjoa, A Min</contributor><creatorcontrib>Goh, Shen-Tat ; Tan, Kian-Lee ; Hartmanis, J ; Bench-Capon, Trevor ; Goos, G ; Soda, Giovanni ; Tjoa, A. Min ; Tjoa, A. Min ; Leeuwen, J. van ; Soda, Giovanni ; Soda, Giovanni ; Bench-Capon, Trevor ; Tjoa, A. Min ; Soda, Giovanni ; Bench-Capon, Trevor J.M. ; Tjoa, A Min</creatorcontrib><description>In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC organizes images based on color, size and spatial location of clusters extracted from the images. We evaluated MOSAIC, and our results show that it is able to prune the search space and retrieve relevant images quickly.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540664483</identifier><identifier>ISBN: 9783540664482</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540483098</identifier><identifier>EISBN: 9783540483090</identifier><identifier>DOI: 10.1007/3-540-48309-8_81</identifier><identifier>OCLC: 958559916</identifier><identifier>OCLC: 1245673570</identifier><identifier>LCCallNum: QA75.5-76.95</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Exact sciences and technology ; Image Retrieval ; Index Structure ; Information systems. Data bases ; Memory organisation. Data processing ; Mosaic Structure ; Range Query ; Relevant Image ; Software</subject><ispartof>Database and Expert Systems Applications, 1999, Vol.1677, p.862-871</ispartof><rights>Springer-Verlag Berlin Heidelberg 1999</rights><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/3072945-l.jpg</thumbnail><link.rule.ids>309,310,779,780,784,789,790,793,4050,4051,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=1826192$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Hartmanis, J</contributor><contributor>Bench-Capon, Trevor</contributor><contributor>Goos, G</contributor><contributor>Soda, Giovanni</contributor><contributor>Tjoa, A. Min</contributor><contributor>Tjoa, A. Min</contributor><contributor>Leeuwen, J. van</contributor><contributor>Soda, Giovanni</contributor><contributor>Soda, Giovanni</contributor><contributor>Bench-Capon, Trevor</contributor><contributor>Tjoa, A. Min</contributor><contributor>Soda, Giovanni</contributor><contributor>Bench-Capon, Trevor J.M.</contributor><contributor>Tjoa, A Min</contributor><creatorcontrib>Goh, Shen-Tat</creatorcontrib><creatorcontrib>Tan, Kian-Lee</creatorcontrib><title>MOSAIC: A Multi-Feature Access Method for Large Image Databases</title><title>Database and Expert Systems Applications</title><description>In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC organizes images based on color, size and spatial location of clusters extracted from the images. We evaluated MOSAIC, and our results show that it is able to prune the search space and retrieve relevant images quickly.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Image Retrieval</subject><subject>Index Structure</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>Mosaic Structure</subject><subject>Range Query</subject><subject>Relevant Image</subject><subject>Software</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>3540664483</isbn><isbn>9783540664482</isbn><isbn>3540483098</isbn><isbn>9783540483090</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>1999</creationdate><recordtype>book_chapter</recordtype><recordid>eNqNkD1PAzEMhsOnKIWd8QbWQBLncgkLqspXpVYMwBz5Ul8plF5JrgP_nrTlB-DBlvz6seyXsQsprqQQ1TXwUguuLQjHrbdyj51C7mwbdp_1pJGSA2h3sBOM0Vk7ZD0BQnFXaThmPVfasnROmhN2ntKHyAFKae167Hby_DIYDW-KQTFZL7o5fyDs1pGKQQiUUjGh7r2dFk0bizHGGRWjL8z5DjusMVE6Y0cNLhKd_9U-e3u4fx0-8fHz42g4GPOVUpXkZKVxU6MaSVJYU4O2mE9VlVOVbmzQUyyVntZI-TWpa3AloW1AQwjCSII-u9ztXWEKuGgiLsM8-VWcf2H88dIqI53KY1e7sZSV5Yyir9v2M3kp_MZODz575Lfu-Y2dGdB_e2P7vabUedoQgZZdxEV4x1VHMXmjbWky6QC83WLwHwxEpZwuva0yJeAXC06Bbw</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Goh, Shen-Tat</creator><creator>Tan, Kian-Lee</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>1999</creationdate><title>MOSAIC: A Multi-Feature Access Method for Large Image Databases</title><author>Goh, Shen-Tat ; Tan, Kian-Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2271-e8169d62f1e1086b348a664279274f8c4da524dbae04814b395ea8f343cc061e3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Applied sciences</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Image Retrieval</topic><topic>Index Structure</topic><topic>Information systems. Data bases</topic><topic>Memory organisation. Data processing</topic><topic>Mosaic Structure</topic><topic>Range Query</topic><topic>Relevant Image</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goh, Shen-Tat</creatorcontrib><creatorcontrib>Tan, Kian-Lee</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goh, Shen-Tat</au><au>Tan, Kian-Lee</au><au>Hartmanis, J</au><au>Bench-Capon, Trevor</au><au>Goos, G</au><au>Soda, Giovanni</au><au>Tjoa, A. Min</au><au>Tjoa, A. Min</au><au>Leeuwen, J. van</au><au>Soda, Giovanni</au><au>Soda, Giovanni</au><au>Bench-Capon, Trevor</au><au>Tjoa, A. Min</au><au>Soda, Giovanni</au><au>Bench-Capon, Trevor J.M.</au><au>Tjoa, A Min</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>MOSAIC: A Multi-Feature Access Method for Large Image Databases</atitle><btitle>Database and Expert Systems Applications</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>1999</date><risdate>1999</risdate><volume>1677</volume><spage>862</spage><epage>871</epage><pages>862-871</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540664483</isbn><isbn>9783540664482</isbn><eisbn>3540483098</eisbn><eisbn>9783540483090</eisbn><abstract>In this paper, we present an image retrieval system that made used of an index structure, called MOSAIC to facilitate speedy retrieval of images. MOSIAC is a multi-tier structure that indexes multiple features of an image, with each tier dealing with one feature. Our current implementation of MOSAIC organizes images based on color, size and spatial location of clusters extracted from the images. We evaluated MOSAIC, and our results show that it is able to prune the search space and retrieve relevant images quickly.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/3-540-48309-8_81</doi><oclcid>958559916</oclcid><oclcid>1245673570</oclcid><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0302-9743
ispartof Database and Expert Systems Applications, 1999, Vol.1677, p.862-871
issn 0302-9743
1611-3349
language eng
recordid cdi_pascalfrancis_primary_1826192
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Applied sciences
Computer science
control theory
systems
Exact sciences and technology
Image Retrieval
Index Structure
Information systems. Data bases
Memory organisation. Data processing
Mosaic Structure
Range Query
Relevant Image
Software
title MOSAIC: A Multi-Feature Access Method for Large Image Databases
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T20%3A19%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=MOSAIC:%20A%20Multi-Feature%20Access%20Method%20for%20Large%20Image%20Databases&rft.btitle=Database%20and%20Expert%20Systems%20Applications&rft.au=Goh,%20Shen-Tat&rft.date=1999&rft.volume=1677&rft.spage=862&rft.epage=871&rft.pages=862-871&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=3540664483&rft.isbn_list=9783540664482&rft_id=info:doi/10.1007/3-540-48309-8_81&rft.eisbn=3540483098&rft.eisbn_list=9783540483090&rft_dat=%3Cproquest_pasca%3EEBC6485640_933_881%3C/proquest_pasca%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p2271-e8169d62f1e1086b348a664279274f8c4da524dbae04814b395ea8f343cc061e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=EBC3072945_87_880&rft_id=info:pmid/&rfr_iscdi=true