dc.contributor.author | Hove, Lars-Jacob | eng |
dc.date.accessioned | 2010-12-09T12:14:57Z | |
dc.date.available | 2010-12-09T12:14:57Z | |
dc.date.issued | 2004 | eng |
dc.identifier.uri | https://hdl.handle.net/1956/4332 | |
dc.description.abstract | Successful 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.iso | eng | eng |
dc.publisher | The University of Bergen | eng |
dc.subject | Information retrieval | eng |
dc.subject | Image retrieval | eng |
dc.subject | CBIR | eng |
dc.subject | Image databases | eng |
dc.subject | Thesaurus | eng |
dc.subject | Feature extraction | eng |
dc.title | Improving image retrieval with a thesaurus for shapes. The VORTEX prototyp. | eng |
dc.type | Master thesis | en_US |
dc.rights.holder | The author | en_US |
dc.rights.holder | Copyright the author. All rights reserved | en_US |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429 | nob |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Databaser og multimediasystemer: 428 | nob |