Automatic Landmark Detecting by Flickr Photo Clustering

Abstract:

In this paper, we concentrate on how to automatic detect landmarks of a city leveraging the community-contributed collections of rich media on the Web, as landmark for a given city could provide helpful information for tourist guides. Our approach only need the user to provide the city name, and then submit it to Flickr website to obtain photos and related metadata. Next, these Flickr photos are clustered by simultaneously integrating multiple types of metadata which are related to Flickr photos. Finally, landmarks are mined from the photos clustering results. Experiments conducted on the photos in Flickr demonstrate the effectiveness of the proposed approach and our approach could enhance the performance of tourist guiding systems greatly.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 3438-3442
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.3438
• Online since: December 2010
• Authors: Zheng Liu
• Keywords: Graph Partitioning, Hash Code, Landmark, Photo Clustering

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