The nature of statistical learning theory
The nature of statistical learning theory
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 15th international conference on Multimedia
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Gazetiki: automatic creation of a geographical gazetteer
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
W2Go: a travel guidance system by automatic landmark ranking
Proceedings of the international conference on Multimedia
Exploiting semantic hierarchies for Flickr group
AMT'10 Proceedings of the 6th international conference on Active media technology
Annotate Wikipedia with Flickr images: concepts and case study
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
Query expansion in folksonomies
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
SG'11 Proceedings of the 11th international conference on Smart graphics
Mining flickr landmarks by modeling reconstruction sparsity
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Multimedia Tools and Applications
Analyzing tag distributions in folksonomies for resource classification
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Recommending Flickr groups with social topic model
Information Retrieval
Describing locations using tags and images: explorative pattern mining in social media
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
Discovering and Characterizing Places of Interest Using Flickr and Twitter
International Journal on Semantic Web & Information Systems
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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.