An information retrieval approach to identifying infrequent events in surveillance video

Suzanne Little, Iveel Jargalsaikhan, Cem Direkoglu, Noel E. O'Connor, Alan F. Smeaton, Kathy Clawson, Hao Li, Jun Liu, Bryan Scotney, Hui Wang, Marcos Nieto

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Citations (Scopus)

    Abstract

    This paper presents work on integrating multiple computer vision-based approaches to surveillance video analysis to support user retrieval of video segments showing human activities. Applied computer vision using real-world surveillance video data is an extremely challenging research problem, independently of any information retrieval (IR) issues. Here we describe the issues faced in developing both generic and specific analysis tools and how they were integrated for use in the new TRECVid interactive surveillance event detection task. We present an interaction paradigm and discuss the outcomes from face-to-face end user trials and the resulting feedback on the system from both professionals, who manage surveillance video, and computer vision or machine learning experts. We propose an information retrieval approach to finding events in surveillance video rather than solely relying on traditional annotation using specifically trained classifiers.

    Original languageEnglish
    Title of host publicationICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval
    Pages223-230
    Number of pages8
    DOIs
    Publication statusPublished - 2013
    Event3rd ACM International Conference on Multimedia Retrieval, ICMR 2013 - Dallas, TX, United States
    Duration: 16 Apr 201320 Apr 2013

    Publication series

    NameICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval

    Conference

    Conference3rd ACM International Conference on Multimedia Retrieval, ICMR 2013
    CountryUnited States
    CityDallas, TX
    Period16/04/1320/04/13

    Keywords

    • surveillance event detection
    • video analysis

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