Focused image crawling based on an external image classi er

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dc.contributor.advisorDr. Haselager, W.F.G.
dc.contributor.advisorDr. Grootjen, F.A.
dc.contributor.authorRoefs, David
dc.date.issued2018-11-01
dc.description.abstractIn an overarching project concerning information gathering and pro- cessing, this thesis is concerned with the gathering of large quantities of images belonging to a speci c domain. A focused crawler speci cally designed to retrieve images, a focussed image crawler, is proposed and implemented. The crawling strategy is based primarily on an external image classi er. Criteria are established to evaluate the performance of the crawler in regard to what the overarching project might require. It was found that the employed crawling strategy is not e ective and can in some cases misguide the crawler. Three out of four criteria to evaluate crawling performance were met by the crawler, indicating that a focussed image crawler can be a suitable solution to the image retrieval problem. Finally, suggestions are given for improvements on the presented approach.en_US
dc.embargo.lift10000-01-01
dc.embargo.typePermanent embargoen_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/10831
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleFocused image crawling based on an external image classi eren_US
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