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Event-related image retrieval: exploring geographical and temporal distribution of user tags

Event-related image retrieval: exploring geographical and temporal distribution of user tags 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Multimedia Information Retrieval Springer Journals

Event-related image retrieval: exploring geographical and temporal distribution of user tags

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References (5)

Publisher
Springer Journals
Copyright
Copyright © 2013 by Springer-Verlag London
Subject
Computer Science; Multimedia Information Systems; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Data Mining and Knowledge Discovery; Image Processing and Computer Vision; Computer Science, general
ISSN
2192-6611
eISSN
2192-662X
DOI
10.1007/s13735-013-0039-3
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Multimedia Information Retrieval – Springer Journals

Published: Aug 25, 2013

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