Report from the first international workshop on computer vision meets databases - CVDB 2004

dc.contributor.authorAmsaleg, Laurent
dc.contributor.authorJónsson, Björn Þór
dc.contributor.authorOria, Vincent
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2026-11-09T09:33:01Z
dc.date.available2026-11-09T09:33:01Z
dc.date.issued2005-03
dc.description.abstractThe presentations and discussions of the First International Workshop on Computer Vision meets Databases, or CVDB 2004, which was held in Paris, France, on 13 June 2004, were reported. The workshop was co-located with the 2004 ACM SIG-MOD/PODS conferences and was attended by forty-two participants from all over the world. The goal of the workshop was to bridge the gap between the database and computer vision communities and to define some research directions that can benefit both communities. The database tutorial 'Nearest Neighbor Search on Multimedia Indexing Structures' was presented by Thomas Seidl, professor of Computer Science at RWTH Aachen Univesity, Germany.en
dc.description.versionPeer revieweden
dc.format.extent4
dc.format.extent918586
dc.format.extent57-60
dc.identifier.citationAmsaleg, L, Jónsson, B Þ & Oria, V 2005, 'Report from the first international workshop on computer vision meets databases - CVDB 2004', SIGMOD Record, vol. 34, no. 1, pp. 57-60. https://doi.org/10.1145/1058150.1058163en
dc.identifier.doi10.1145/1058150.1058163
dc.identifier.issn0163-5808
dc.identifier.other251582066
dc.identifier.other3628025b-5e23-45b7-8ce3-7c232aea22f3
dc.identifier.other19944414005
dc.identifier.urihttps://hdl.handle.net/20.500.11815/9023
dc.language.isoen
dc.relation.ispartofseriesSIGMOD Record; 34(1)en
dc.relation.urlhttps://www.scopus.com/pages/publications/19944414005en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectSoftwareen
dc.subjectInformation Systemsen
dc.titleReport from the first international workshop on computer vision meets databases - CVDB 2004en
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/articleen

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