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Measuring the impact of temporal context on video retrieval

Byrne, Daragh and Wilkins, Peter and Jones, Gareth J.F. and Smeaton, Alan F. and O'Connor, Noel E. (2008) Measuring the impact of temporal context on video retrieval. In: CIVR 2008 - ACM International Conference on Image and Video Retrieval, 7-9 July 2008, Niagara Falls, Canada. ISBN 978-1-60558-070-8

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In this paper we describe the findings from the K-Space interactive video search experiments in TRECVid 2007, which examined the effects of including temporal context in video retrieval. The traditional approach to presenting video search results is to maximise recall by offering a user as many potentially relevant shots as possible within a limited amount of time. ‘Context’-oriented systems opt to allocate a portion of theresults presentation space to providing additional contextual cues about the returned results. In video retrieval these cues often include temporal information such as a shot’s location within the overall video broadcast and/or its neighbouring shots. We developed two interfaces with identical retrieval functionality in order to measure the effects of such context on user performance. The first system had a ‘recall-oriented’ interface, where results from a query were presented as a ranked list of shots. The second was ‘contextoriented’, with results presented as a ranked list of broadcasts. 10 users participated in the experiments, of which 8 were novices and 2 experts. Participants completed a number of retrieval topics using both the recall-oriented and context-oriented systems.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Uncontrolled Keywords:Evaluation; Search; Methodology; Experimentation;
Subjects:Computer Science > Information technology
Computer Science > Information storage and retrieval systems
Computer Science > Multimedia systems
Computer Science > Information retrieval
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Association for Computing Machinery
Official URL:
Copyright Information:© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2008 international conference on Content-based image and video retrieval, {Pages 299-308, (2008)}
Funders:European Commission FP6-027026, Irish Research Council for Science Engineering and Technology, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:631
Deposited On:08 Oct 2008 09:43 by Hyowon Lee. Last Modified 20 Jan 2017 11:54

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