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Event detection from flickr data through wavelet-based spatial analysis

Published: 02 November 2009 Publication History

Abstract

Detecting events from web resources has attracted increasing
research interests in recent years. Our focus in this paper is to detect events from photos on Flickr, an Internet image community website. The results can be used to facilitate user searching and browsing photos by events. The problem is challenging considering: (1) Flickr data is noisy, because there are photos unrelated to real-world events; (2) It is not easy to capture the content of photos. This paper presents our effort in detecting events from Flickr photos by exploiting the tags supplied by users to annotate photos. In particular, the temporal and locational distributions of tag usage are analyzed in the first place, where a wavelet transform is employed to suppress noise. Then, we identify tags related with events, and further distinguish between tags of aperiodic events and those of periodic events. Afterwards, event-related tags are clustered such that each cluster, representing an event, consists of tags with similar temporal and locational distribution patterns as well as with similar associated photos. Finally, for each tag cluster, photos corresponding to the represented event are extracted. We evaluate the performance of our approach using a set of real data collected from Flickr. The experimental results demonstrate that our approach is effective in detecting events from the Flickr photo collection.

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    cover image ACM Conferences
    CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management
    November 2009
    2162 pages
    ISBN:9781605585123
    DOI:10.1145/1645953
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    Published: 02 November 2009

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    Author Tags

    1. event detection
    2. flickr tag
    3. wavelet transform

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    • (2023)Real-Time Detection of COVID-19 Events From Twitter: A Spatial-Temporally Bursty-Aware MethodIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316974210:2(656-672)Online publication date: Apr-2023
    • (2023)Events management in social media: a systematic literature reviewSocial Network Analysis and Mining10.1007/s13278-023-01079-813:1Online publication date: 17-Apr-2023
    • (2022)Efficacy of Online Event Detection with Contextual and Structural BiasesEmerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT10.1007/978-3-031-07012-9_36(419-430)Online publication date: 26-May-2022
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