Paper Info
Title
Event-related image retrieval: exploring geographical and temporal distribution of user tags.
Abstract
Providing effective tools to retrieve event-related pictures within media-sharing applications, such as Flickr, is an important but challenging task. One interesting aspect is to search pictures related to a specific event with a given annotated image. Most existing methods have focused on doing this by extracting visual features from the pictures. However, pictures in media-sharing applications increasingly come with location information, such as geotags. Therefore, we stress the importance of exploring the possibility to leverage on the geographical and temporal distribution of terms in a tag-based search process, within event-related image retrieval. Specifically, we propose extended query expansion models that exploit the information about the temporal neighborhoods among pictures in a collection, and leverage on the geo-temporal distribution of the candidate expansion terms to reweight and expand the initial query. To evaluate our approach, we conduct extensive experiments on a dataset consisting of pictures from Flickr. The results from these experiments demonstrate the effectiveness of our method with respect to retrieval performance.
Year
DOI
Venue
2013
10.1007/s13735-013-0039-3
IJMIR
Keywords
Field
DocType
Tag-based image search, Image retrieval, Spatio-temporal approach, Query expansion
Information retrieval,Query expansion,Computer science,Image retrieval,Exploit,Geotagging
Journal
Volume
Issue
ISSN
2
4
2192-662X
Citations 
PageRank 
References 
0
0.34
47
Authors
2
Name
Order
Citations
PageRank
Massimiliano Ruocco1343.83
Heri Ramampiaro215420.46