Tag expansion methods for photo-sharing websites

buir.advisorŞahin, Pınar Duygulu
dc.contributor.authorSevil, Sare Gül
dc.date.accessioned2016-01-08T18:16:40Z
dc.date.available2016-01-08T18:16:40Z
dc.date.copyright2010
dc.date.issued2010
dc.descriptionAnkara : The Department of Computer Engineering and the Institute of Engineering and Science of Bilkent University, 2010.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2010.en_US
dc.descriptionIncludes bibliographical references (leaves 60-64).en_US
dc.descriptionCataloged from PDF version of article.
dc.description.abstractDue to the fast development of affordable digital cameras and the new trend of sharing media through the web, large amounts of images have become available on the Internet. Thus, at a time when a single site alone hosts over 4 billion photos, the necessity of managing these massive numbers of photos for efficient and effective browsing/searching operations has increased. To properly organize large amounts of data, systems have been using collaborative tagging methods by assigning descriptive words, tags, to data and performing text-based search and retrieval operations on these words. Unfortunately, due to various reasons, both the amount and quality of these tags assigned by users are low. In this work, we present and analyze two applications of tag expansion methods on photo-sharing websites. The purpose of these methods is to assist users for proper tagging at upload time. The goal of the approaches is not to give users a complete set of tags that could be directly used but to give a list of, possibly, incomplete set of tags that would help or guide the users to tag in accordance with the image content. With this assistance, problems such as incorrect tagging and insufficient tagging are expected to be solved.
dc.description.provenanceMade available in DSpace on 2016-01-08T18:16:40Z (GMT). No. of bitstreams: 1 0006064.pdf: 3479215 bytes, checksum: 24b41be39ba663c3042b8517cb6e2f28 (MD5)en
dc.description.statementofresponsibilityby Sare Gül Sevilen_US
dc.format.extentxiv, 64 leaves, illustrations ; 30 cm.en_US
dc.identifier.itemidB122600
dc.identifier.urihttp://hdl.handle.net/11693/28925
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPhoto taging
dc.subjectVisual similarity
dc.subjectPhoto-sharing
dc.titleTag expansion methods for photo-sharing websitesen_US
dc.title.alternativeResim paylaşım siteleri için etiket önerim yöntemleri
dc.typeThesisen_US
thesis.degree.disciplineComputer Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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