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ImBrowse.NET - A Software System for Image Database Search
Linköping University, Department of Science and Technology. Linköping University, The Institute of Technology.
2007 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Content-based image retrieval systems rely on computer vision to find images based on visual content rather than predefined keywords. Using images as input as opposed to text can provide the user with a novel and in some senses more intuitive way of searching for images. ImBrowse.NET is a platform for developing content-based image retrieval methods. It takes the form of an extendible stand-alone application, written using the Microsoft .NET 3.0 Framework. The application employs principal components analysis to reduce the complexity of the datasets. This report focuses mainly on the architecture of the application with the intention of providing a user with knowledge needed to extend it with new query modes.

Keywords: Content-Based Image Retrieval, Image Databases, Principal Components Analysis

Place, publisher, year, edition, pages
2007. , 28 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-96336ISRN: LITH-ITN-MT-EX--07/045--SEOAI: oai:DiVA.org:liu-96336DiVA: diva2:643691
Subject / course
Media Technology
Supervisors
Examiners
Available from: 2013-08-28 Created: 2013-08-14 Last updated: 2013-08-29Bibliographically approved

Open Access in DiVA

fulltext(882 kB)79 downloads
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File name FULLTEXT01.pdfFile size 882 kBChecksum SHA-512
913bb00fcfc95d6f0e389b8f4e641e958ff1df32dc506d417057b6c04de2c465f0131eaf1bffef09e9eab230ff370e301fe7b8e460661559f71f1fdcd0901683
Type fulltextMimetype application/pdf

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Bjelkholm, Joel Erving
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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