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DUTH at ImageCLEF 2011 Wikipedia Retrieval

dc.contributor.authorArampatzis, Avi
dc.contributor.authorZagoris, Konstantinos
dc.contributor.authorChatzichristofis, Savvas A.
dc.date.accessioned2017-11-01T16:04:11Z
dc.date.available2017-11-01T16:04:11Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/11728/10201
dc.description.abstractAs digital information is increasingly becoming multimodal, the days of single-language text-only retrieval are numbered. Take as an example Wikipedia where a single topic may be covered in several languages and include non-textual media such as image, audio, and video. Moreover, non-textual media may be annotated with text in several languages in a variety of metadata fields such as object caption, description, comment, and filename. Current search engines usually focus on limited numbers of modalities at a time, e.g. English text queries on English text or maybe on textual annotations of other media as well, not making use of all information available. Final rankings are usually results of fusion of individual modalities, a task which is tricky at best especially when noisy modalities are involved.en_UK
dc.language.isoenen_UK
dc.publisherImageClef, Wikipedia Retrieval Tasken_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectResearch Subject Categories::TECHNOLOGYen_UK
dc.subjectimageCLEFen_UK
dc.subjectwikipedia retrievalen_UK
dc.subjectnon-textual mediumen_UK
dc.subjectdigital informationen_UK
dc.subjectsingle topicen_UK
dc.subjectseveral languageen_UK
dc.titleDUTH at ImageCLEF 2011 Wikipedia Retrievalen_UK
dc.typeWorking Paperen_UK
dc.doi10.1.1.667.9458en_UK


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