Details
| Original language | English |
|---|---|
| Title of host publication | Advances in Information Retrieval |
| Subtitle of host publication | 31th European Conference on IR Research, ECIR 2009, Proceedings |
| Pages | 654-661 |
| Number of pages | 8 |
| ISBN (electronic) | 978-3-642-00958-7 |
| Publication status | Published - 2009 |
| Event | 31th European Conference on Information Retrieval, ECIR 2009 - Toulouse, France Duration: 6 Apr 2009 → 9 Apr 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5478 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
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.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Advances in Information Retrieval: 31th European Conference on IR Research, ECIR 2009, Proceedings. 2009. p. 654-661 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5478 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Exploiting flickr tags and groups for finding landmark photos
AU - Abbasi, Rabeeh
AU - Chernov, Sergey
AU - Nejdl, Wolfgang
AU - Paiu, Raluca
AU - Staab, Steffen
N1 - 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.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67650705782&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-00958-7_62
DO - 10.1007/978-3-642-00958-7_62
M3 - Conference contribution
AN - SCOPUS:67650705782
SN - 978-3-642-00957-0
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 654
EP - 661
BT - Advances in Information Retrieval
T2 - 31th European Conference on Information Retrieval, ECIR 2009
Y2 - 6 April 2009 through 9 April 2009
ER -