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Content-Based Video Retrieval

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Encyclopedia of Database Systems

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Recommended Reading

  1. Browne P, Smeaton AF, Murphy N, O’Connor N, Marlow S, Berrut C. Evaluating and combining digital video shot boundary detection algorithms. In: Proceedings of the IMVIP 2000 – Irish Machine Vision and Image Processing Conference; 2000. p. 93–100.

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  3. Hauptmann A. Lessons for the future from a decade of informedia video analysis research, image and video retrieval. In: Proceedings of the 4th International Conference Image and Video Retrieval; 2005. p. 1–10.

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  4. Sadlier D, O’Connor N. Event detection in field sports video using audio-visual features and a support vector machine. IEEE Trans Circuits Syst Video Technol. 2005;15(10):1225–33.

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  6. Smeaton AF, Lee H, Mc Donald K. Experiences of creating four video library collections with the Físchlár system. Int J Digit Libr. 2004;4(1):42–4.

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  7. Smeaton AF, Over P, Kraaij W. Evaluation campaigns and TRECVid. In: Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval; 2006. p. 321–30.

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  8. http://trec.nist.gov Last visited June ’08.

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Author information

Authors and Affiliations

  1. Dublin City University, Dublin, Ireland

    Cathal Gurrin

Authors
  1. Cathal Gurrin
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Corresponding author

Correspondence to Cathal Gurrin .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science, New Jersey Inst. of Technology, Newark, NJ, USA

    Vincent Oria

  2. Digital Content and Media Sciences ReseaMultimedia Information Research Division, National Institute of Informatics, Tokyo, Japan

    Shin'ichi Satoh

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Gurrin, C. (2018). Content-Based Video Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1027

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