dc.contributor.author | Arampatzis, Avi | |
dc.contributor.author | Zagoris, Konstantinos | |
dc.contributor.author | Chatzichristofis, Savvas A. | |
dc.date.accessioned | 2017-11-01T16:04:11Z | |
dc.date.available | 2017-11-01T16:04:11Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | http://hdl.handle.net/11728/10201 | |
dc.description.abstract | As 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.iso | en | en_UK |
dc.publisher | ImageClef, Wikipedia Retrieval Task | en_UK |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | Research Subject Categories::TECHNOLOGY | en_UK |
dc.subject | imageCLEF | en_UK |
dc.subject | wikipedia retrieval | en_UK |
dc.subject | non-textual medium | en_UK |
dc.subject | digital information | en_UK |
dc.subject | single topic | en_UK |
dc.subject | several language | en_UK |
dc.title | DUTH at ImageCLEF 2011 Wikipedia Retrieval | en_UK |
dc.type | Working Paper | en_UK |
dc.doi | 10.1.1.667.9458 | en_UK |