Title
Learning to associate relevant photos to georeferenced textual documents
Abstract
The association of illustrative photos to textual contents is a challenging cross-media retrieval problem with many practical applications. We have, for instance, that the association of photos to specific parts of travelogues, i.e. textual descriptions for travel experiences, may lead to a better usage of these documents. Despite the huge number of high quality photos in websites like Flickr, these photos are currently not being properly explored in cross-media retrieval tasks.
Year
DOI
Venue
2011
10.1145/2093973.2094044
GIS
Keywords
Field
DocType
better usage,illustrative photo,associate relevant photo,practical application,huge number,high quality photo,specific part,georeferenced textual document,travel experience,cross-media retrieval task,challenging cross-media retrieval problem,information retrieval,learning to rank
World Wide Web,Human–computer information retrieval,Information retrieval,Computer science,Georeference,Geographic information retrieval,Visual Word
Conference
Citations 
PageRank 
References 
1
0.38
11
Authors
2
Name
Order
Citations
PageRank
Rui Candeias110.38
Bruno Martins244134.58