RISE-SIMR: A Robust Image Search Engine for Satellite Image Matching and Retrieval
Identifieur interne : 000231 ( Istex/Corpus ); précédent : 000230; suivant : 000232RISE-SIMR: A Robust Image Search Engine for Satellite Image Matching and Retrieval
Auteurs : Sanjiv K. Bhatia ; Ashok Samal ; Prasanth VadlamaniSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: The current generation of satellite-based sensors produces a wealth of observations. The observations are recorded in different regions of electromagnetic spectrum, such as visual, infra-red, and microwave bands. The observations by themselves provide a snapshot of an area but a more interesting problem, from mining the observations for ecological or agricultural research, is to be able to correlate observations from different time instances. However, the sheer volume of data makes such correlation a daunting task. The task may be simplified in part by correlating geographical coordinates to observation but that may lead to omission of similar conditions in different regions. This paper reports on our work on an image search engine that can efficiently extract matching image segments from a database of satellite images. This engine is based on an adaptation of rise (Robust Image Search Engine) that has been used successfully in querying large databases of images. Our goal in the current work, in addition to matching different image segments, is to develop an interface that supports hybrid query mechanisms including the ones based on text, geographic, and content.
Url:
DOI: 10.1007/978-3-540-76856-2_24
Links to Exploration step
ISTEX:2EAA1590066BB869396AED0412C63C43BD1E015ELe document en format XML
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The observations are recorded in different regions of electromagnetic spectrum, such as visual, infra-red, and microwave bands. The observations by themselves provide a snapshot of an area but a more interesting problem, from mining the observations for ecological or agricultural research, is to be able to correlate observations from different time instances. However, the sheer volume of data makes such correlation a daunting task. The task may be simplified in part by correlating geographical coordinates to observation but that may lead to omission of similar conditions in different regions. This paper reports on our work on an image search engine that can efficiently extract matching image segments from a database of satellite images. This engine is based on an adaptation of rise (Robust Image Search Engine) that has been used successfully in querying large databases of images. Our goal in the current work, in addition to matching different image segments, is to develop an interface that supports hybrid query mechanisms including the ones based on text, geographic, and content.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Sanjiv K. 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Robotics)</BookSubject><BookSubject Code="I22013" Priority="5" Type="Secondary">Computer Graphics</BookSubject><BookSubject Code="I16021" Priority="6" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>George</GivenName><FamilyName>Bebis</FamilyName></EditorName><Contact><Email>bebis@cse.unr.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Richard</GivenName><FamilyName>Boyle</FamilyName></EditorName><Contact><Email>Richard.Boyle@nasa.gov</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Bahram</GivenName><FamilyName>Parvin</FamilyName></EditorName><Contact><Email>parvin@hpcrd.lbl.gov</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Darko</GivenName><FamilyName>Koracin</FamilyName></EditorName><Contact><Email>darko@dri.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Nikos</GivenName><FamilyName>Paragios</FamilyName></EditorName><Contact><Email>nikos.paragios@ecp.fr</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Syeda-Mahmood</GivenName><FamilyName>Tanveer</FamilyName></EditorName><Contact><Email>stf@almaden.ibm.com</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Tao</GivenName><FamilyName>Ju</FamilyName></EditorName><Contact><Email>taoju@cs.wustl.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Zicheng</GivenName><FamilyName>Liu</FamilyName></EditorName><Contact><Email>zliu@microsoft.com</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Sabine</GivenName><FamilyName>Coquillart</FamilyName></EditorName><Contact><Email>Sabine.Coquillart@inria.fr</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Carolina</GivenName><FamilyName>Cruz-Neira</FamilyName></EditorName><Contact><Email>carolina@lite3d.com</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Torsten</GivenName><FamilyName>Müller</FamilyName></EditorName><Contact><Email>torsten@cs.sfu.ca</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Tom</GivenName><FamilyName>Malzbender</FamilyName></EditorName><Contact><Email>malzbend@hpl.hp.com</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part5"><PartInfo TocLevels="0"><PartID>5</PartID><PartSequenceNumber>5</PartSequenceNumber><PartTitle>ST3: Image Databases</PartTitle><PartChapterCount>4</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Visual Computing</BookTitle></PartContext></PartInfo><Chapter ID="Chap24" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>24</ChapterID><ChapterDOI>10.1007/978-3-540-76856-2_24</ChapterDOI><ChapterSequenceNumber>24</ChapterSequenceNumber><ChapterTitle Language="En">RISE-SIMR: A Robust Image Search Engine for Satellite Image Matching and Retrieval</ChapterTitle><ChapterFirstPage>245</ChapterFirstPage><ChapterLastPage>254</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>5</PartID><BookID>978-3-540-76856-2</BookID><BookTitle>Advances in Visual Computing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Sanjiv</GivenName><GivenName>K.</GivenName><FamilyName>Bhatia</FamilyName></AuthorName><Contact><Email>sanjiv@acm.org</Email></Contact></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Ashok</GivenName><FamilyName>Samal</FamilyName></AuthorName><Contact><Email>samal@cse.unl.edu</Email></Contact></Author><Author AffiliationIDS="Aff2"><AuthorName DisplayOrder="Western"><GivenName>Prasanth</GivenName><FamilyName>Vadlamani</FamilyName></AuthorName><Contact><Email>pvadlama@cse.unl.edu</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>University of Missouri – St. Louis</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>University of Nebraska – Lincoln</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The current generation of satellite-based sensors produces a wealth of observations. The observations are recorded in different regions of electromagnetic spectrum, such as visual, infra-red, and microwave bands. The observations by themselves provide a snapshot of an area but a more interesting problem, from mining the observations for ecological or agricultural research, is to be able to correlate observations from different time instances. However, the sheer volume of data makes such correlation a daunting task. The task may be simplified in part by correlating geographical coordinates to observation but that may lead to omission of similar conditions in different regions. This paper reports on our work on an image search engine that can efficiently extract matching image segments from a database of satellite images. This engine is based on an adaptation of <Emphasis Type="SmallCaps">rise</Emphasis> (Robust Image Search Engine) that has been used successfully in querying large databases of images. Our goal in the current work, in addition to matching different image segments, is to develop an interface that supports hybrid query mechanisms including the ones based on text, geographic, and content.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>RISE-SIMR: A Robust Image Search Engine for Satellite Image Matching and Retrieval</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>RISE-SIMR: A Robust Image Search Engine for Satellite Image Matching and Retrieval</title></titleInfo><name type="personal"><namePart type="given">Sanjiv</namePart><namePart type="given">K.</namePart><namePart type="family">Bhatia</namePart><affiliation>University of Missouri – St. Louis</affiliation><affiliation>E-mail: sanjiv@acm.org</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ashok</namePart><namePart type="family">Samal</namePart><affiliation>University of Nebraska – Lincoln</affiliation><affiliation>E-mail: samal@cse.unl.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Prasanth</namePart><namePart type="family">Vadlamani</namePart><affiliation>University of Nebraska – Lincoln</affiliation><affiliation>E-mail: pvadlama@cse.unl.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: The current generation of satellite-based sensors produces a wealth of observations. The observations are recorded in different regions of electromagnetic spectrum, such as visual, infra-red, and microwave bands. The observations by themselves provide a snapshot of an area but a more interesting problem, from mining the observations for ecological or agricultural research, is to be able to correlate observations from different time instances. However, the sheer volume of data makes such correlation a daunting task. The task may be simplified in part by correlating geographical coordinates to observation but that may lead to omission of similar conditions in different regions. This paper reports on our work on an image search engine that can efficiently extract matching image segments from a database of satellite images. This engine is based on an adaptation of rise (Robust Image Search Engine) that has been used successfully in querying large databases of images. Our goal in the current work, in addition to matching different image segments, is to develop an interface that supports hybrid query mechanisms including the ones based on text, geographic, and content.</abstract><relatedItem type="host"><titleInfo><title>Advances in Visual Computing</title><subTitle>Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">George</namePart><namePart type="family">Bebis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="family">Boyle</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bahram</namePart><namePart type="family">Parvin</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Darko</namePart><namePart type="family">Koracin</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Nikos</namePart><namePart type="family">Paragios</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Syeda-Mahmood</namePart><namePart type="family">Tanveer</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Tao</namePart><namePart type="family">Ju</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Zicheng</namePart><namePart type="family">Liu</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Sabine</namePart><namePart type="family">Coquillart</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Carolina</namePart><namePart type="family">Cruz-Neira</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Torsten</namePart><namePart type="family">Müller</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Tom</namePart><namePart type="family">Malzbender</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I22040">Biometrics</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic></subject><identifier type="DOI">10.1007/978-3-540-76856-2</identifier><identifier type="ISBN">978-3-540-76855-5</identifier><identifier type="eISBN">978-3-540-76856-2</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">158127</identifier><identifier type="BookID">978-3-540-76856-2</identifier><identifier type="BookChapterCount">80</identifier><identifier type="BookVolumeNumber">4842</identifier><identifier type="BookSequenceNumber">4842</identifier><identifier type="PartChapterCount">4</identifier><part><date>2007</date><detail type="part"><title>ST3: Image Databases</title></detail><detail type="volume"><number>4842</number><caption>vol.</caption></detail><extent unit="pages"><start>245</start><end>254</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></relatedItem><identifier type="istex">2EAA1590066BB869396AED0412C63C43BD1E015E</identifier><identifier type="DOI">10.1007/978-3-540-76856-2_24</identifier><identifier type="ChapterID">24</identifier><identifier type="ChapterID">Chap24</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2007</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2007</recordOrigin></recordInfo></mods></metadata></istex></record>Pour manipuler ce document sous Unix (Dilib)
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