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EDBT
2016
ACM

Identifying and Describing Streets of Interest

3 years 19 days ago
Identifying and Describing Streets of Interest
The amount of crowdsourced geospatial content on the Web is constantly increasing, providing a wealth of information for a variety of location-based services and applications. This content can be analyzed to discover interesting locations in large urban environments which people choose for different purposes, such as for entertainment, shopping, business or culture. In this paper, we focus on the problem of identifying and describing Streets of Interest. Given the road network in a specified area, and a collection of geolocated Points of Interest and photos in this area, our goal is to identify the most interesting streets for a specified category or keyword set, and to allow their visual exploration by selecting a small and spatio-textually diverse set of relevant photos. We formally define the problem and we present efficient algorithms, based on spatiotextual indices and filter and refinement strategies. The proposed methods are evaluated experimentally regarding their effect...
Dimitrios Skoutas, Dimitris Sacharidis, Kostas Sta
Added 02 Apr 2016
Updated 02 Apr 2016
Type Journal
Year 2016
Where EDBT
Authors Dimitrios Skoutas, Dimitris Sacharidis, Kostas Stamatoukos
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