Title: Geo distance-based event detection in social media

Authors: Selvam Sheba; B. Ramadoss; S.R. Balasundaram

Addresses: Department of Computer Applications, National Institute of Technology, Tiruchirappalli-620 015, India ' Department of Computer Applications, National Institute of Technology, Tiruchirappalli-620 015, India ' Department of Computer Applications, National Institute of Technology, Tiruchirappalli-620 015, India

Abstract: In the past two decades, the increase in the digital technology created an interest within the people to capture the daily activities they come across. The popularity of the social media sites enabled sharing of these experiences leading to large number of multimedia content available on the web. Especially, large numbers of photo collections are made into the social media sites, making the task of retrieving photos difficult. The retrieval task of the social photo collections has been made easy by identifying them as events, known as social event detection (SED). The proposed work describes the SED task, by utilising the various sources of metadata coupled with photos on an image community website Flickr. The photos are grouped into an event-oriented way by utilising the photo ID, title, tags, description, date, time and geo-location. Especially, three different measures of great circle distance (GCD) have been used on the latitude and longitude values of the photos for event detection. The proposed methodology grouped the photos into respective events of sports, technical and protest events simultaneously.

Keywords: social events; social event detection; SED; geo-referenced photos; social photo collections; great circle distance; GCD; social media; multimedia content; photograph retrieval; photo retrieval; metadata; Flickr; geolocation; geographic location.

DOI: 10.1504/IJCISTUDIES.2015.069834

International Journal of Computational Intelligence Studies, 2015 Vol.4 No.1, pp.87 - 101

Received: 19 Sep 2013
Accepted: 15 May 2014
Published online: 13 Jun 2015 *

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