Exploiting flickr tags and groups for finding landmark photos

authored by: Rabeeh Abbasi, Sergey Chernov, Wolfgang Nejdl, Raluca Paiu, Steffen Staab
Abstract: Many people take pictures of different city landmarks and post them to photo-sharing systems like Flickr. They also add tags and place photos in Flickr groups, created around particular themes. Using tags, other people can search for representative landmark images of places of interest. Searching for landmarks using tags results into many non-landmark photos and provides poor landmark summary for a city. In this paper we propose a new method to identify landmark photos using tags and social Flickr groups. In contrast to similar modern systems, our approach is also applicable when GPS-coordinates for photos are not available. Presented user study shows that the proposed method outperforms state-of-the-art systems for landmark finding.
Organisation(s): L3S Research Centre
External Organisation(s): University of Koblenz-Landau
Type: Conference contribution
Pages: 654-661
No. of pages: 8
Publication date: 2009
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Theoretical Computer Science, General Computer Science
Electronic version(s): https://doi.org/10.1007/978-3-642-00958-7_62 (Access: Closed)

BibTeX

@inproceedings{82526f845d31406aacc18fa534ac5954,
title = "Exploiting flickr tags and groups for finding landmark photos",
abstract = "Many people take pictures of different city landmarks and post them to photo-sharing systems like Flickr. They also add tags and place photos in Flickr groups, created around particular themes. Using tags, other people can search for representative landmark images of places of interest. Searching for landmarks using tags results into many non-landmark photos and provides poor landmark summary for a city. In this paper we propose a new method to identify landmark photos using tags and social Flickr groups. In contrast to similar modern systems, our approach is also applicable when GPS-coordinates for photos are not available. Presented user study shows that the proposed method outperforms state-of-the-art systems for landmark finding.",
author = "Rabeeh Abbasi and Sergey Chernov and Wolfgang Nejdl and Raluca Paiu and Steffen Staab",
note = "Funding Information: This work was partially supported by the PHAROS (IST Contract No. 045035) and Tagora (FP6-2005-34721) projects funded by the European Commission under the 6th Framework Programme and Higher Education Commision of Pakistan by providing scholarship to Abbasi.; 31th European Conference on Information Retrieval, ECIR 2009 ; Conference date: 06-04-2009 Through 09-04-2009",
year = "2009",
doi = "10.1007/978-3-642-00958-7_62",
language = "English",
isbn = "978-3-642-00957-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Berlin Heidelberg",
pages = "654--661",
booktitle = "Advances in Information Retrieval",
}