Browsing by Keywords "Visual information"
Now showing items 1-7 of 7
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Automatic tag expansion using visual similarity for photo sharing websites
(Springer New York LLC, 2010)In this paper we present an automatic photo tag expansion method designed for photo sharing websites. The purpose of the method is to suggest tags that are relevant to the visual content of a given photo at upload time. ... -
Bilkent University at TRECVID 2005
(National Institute of Standards and Technology, 2005-11)We describe our second-time participation, that includes one high-level feature extraction run, and three manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a ... -
Bilkent university at TRECVID 2006
(National Institute of Standards and Technology, 2006-11)We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system ... -
Bilkent University at TRECVID 2007
(National Institute of Standards and Technology, 2007)We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common ... -
E-museum: web-based tour and information system for museums
(IEEE, 2006)A web-based system - consisting of data entrance, access and retrieval modules - is constructed for museums. Internet users that visit the e-museum, are able to view the written and visual information belonging to the ... -
MUCKE participation at retrieving diverse social images task of MediaEval 2013
(CEUR-WS, 2013)The Mediaeval 2013 Retrieving Diverse Social Image Task addresses the challenge of improving both relevance and diversity of photos in a retrieval task on Flickr. We propose a clustering based technique that exploits both ... -
Toward an estimation of user tagging credibility for social image retrieval
(ACM, 2014-11)Existing image retrieval systems exploit textual or/and visual information to return results. Retrieval is mostly focused on data themselves and disregards the data sources. In Web 2.0 platforms, the quality of annotations ...