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A Generalized Metric Distance between Hierarchically Partitioned Images

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorJomier, Geneviève*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorManouvrier, Maude
HAL ID: 182131
ORCID: 0000-0001-8878-058X		*
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorRukoz, Marta*
dc.date.accessioned2011-04-18T14:22:53Z
dc.date.available2011-04-18T14:22:53Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/5996
dc.language.isoenen
dc.subjectrecursive image decomposition
dc.subjectquad/quin/nona-tree
dc.subjectImage database
dc.subjectcontent-based image retrieval
dc.subjectmulti-level filtering
dc.subjectimage region similarity
dc.subject.ddc005en
dc.titleA Generalized Metric Distance between Hierarchically Partitioned Images
dc.typeCommunication / Conférence
dc.description.abstractenThis article presents a generalized metric distance, called $\Delta$-distance, between images represented by a tree structure resulting from a recursive image partition. This distance is used to perform content-based image retrieval queries in databases. Delta-distance allows to retrieve images globally similar to a query image. This distance takes into account the location of the image visual features. It can be performed using a multi-level filtering algorithm. Moreover, Delta-distance allows region-based queries. In this case, the resulting images contain quadrants similar to the quadrants selected by the user in the query image or contain quadrants similar to the entire query image. Because it is a generalized distance function, some particular cases of the $\Delta$-distance appear in existing content-based image retrieval systems.
dc.identifier.citationpages33-41
dc.relation.ispartoftitleProceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
dc.relation.ispartofeditorMasseglia, Florent
dc.relation.ispartofpublnameACM
dc.relation.ispartofdate2005
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn1-59593-216-X
dc.relation.confcountryUNITED STATES
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2019-03-26T14:31:12Z
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


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