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dc.contributor.authorHove, Lars-Jacobeng
dc.date.accessioned2010-12-09T12:14:57Z
dc.date.available2010-12-09T12:14:57Z
dc.date.issued2004eng
dc.identifier.urihttps://hdl.handle.net/1956/4332
dc.description.abstractSuccessful retrieval of relevant images from large-scale image collections is one of the current problems in the field of data management. In this paper, I propose a system which combines techniques from Computer Vision, such as feature extraction, with a thesaurus for objects / shapes. A brief presentation of the problem area is given, along with a presentation and test results from a prototype system, VORTEX. The VORTEX system has been compared to a retrieval system based on low-level image features alone, and is able to achieve a significantly higher degree of image recall.en_US
dc.language.isoengeng
dc.publisherThe University of Bergeneng
dc.subjectInformation retrievaleng
dc.subjectImage retrievaleng
dc.subjectCBIReng
dc.subjectImage databaseseng
dc.subjectThesauruseng
dc.subjectFeature extractioneng
dc.titleImproving image retrieval with a thesaurus for shapes. The VORTEX prototyp.eng
dc.typeMaster thesisen_US
dc.rights.holderThe authoren_US
dc.rights.holderCopyright the author. All rights reserveden_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429nob
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Databaser og multimediasystemer: 428nob


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