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Efficient Content Based Video Retrieval for Animal Videos

  • Conference paper
Book cover Advances in Computing, Communication and Control (ICAC3 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 125))

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Abstract

Researchers are working on Content Based Video Retrieval (CBVR) for many years. But the available techniques for CBVR are not performing well for CBVR of Animal Videos. Thus in this paper we have proposed a new technique for CBVR of Animal Videos and experimental results are also provided with this paper to support it.

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References

  1. Yihong, G., Hongjiang, Z., Chuan, C.H.: An Image Database System with Fast Image Indexing Capability Based on Color Histograms. In: IEEE Region 10’s Ninth Annual International Conference TENCON 1994 (1994) ISBN: 0-7803-1862-5

    Google Scholar 

  2. Das, M., Manmatha, R.: Automatic Segmentation and Indexing in a Database of Bird Images. In: Proceedings of Eighth IEEE International Conference on Computer Vision, ICCV 2001 (2001) ISBN: 0-7695-1143-0

    Google Scholar 

  3. Cantone, D., Ferro, A., Pulvirenti, A., Recupero, D.R., Shasha, D.: Antipole Tree Indexing to Support Range Search and K-Nearest Neighbor Search in Metric Spaces. IEEE Transaction on Knowledge and Data Engineering 17(4) (April 2005) ISSN : 1041-4347

    Google Scholar 

  4. Battiato, S., Di Blasi, G., Reforgiato, D.: Advanced indexing schema for imaging applications: three case studies. IET Image Process. 1(3) (September 2007) ISSN : 1751-9659

    Google Scholar 

  5. Lee, A.J.T., Hong, R.-W., Chang, M.-F.: An Approach to Content-based Video Retrieval. In: 2004 IEEE International Conference on Multimedia and Expo., ICME (2004) ISBN: 0-7803-8603-5

    Google Scholar 

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Author information

Authors and Affiliations

  1. MPSTME, NMIMS University, Mumbai, India

    Vijay Katkar

  2. Fr. Conceicao Rodrigues College of Engineering, Mumbai, India

    Amit Barve

Authors
  1. Vijay Katkar
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  2. Amit Barve
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Editor information

Editors and Affiliations

  1. Fr. Conceicao Rodrigues College of Engineering Fr. Agnel Ashram, 400050, Bandstand, Bandra (West) Mumbai, India

    Srija Unnikrishnan , Sunil Surve  & Deepak Bhoir ,  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Katkar, V., Barve, A. (2011). Efficient Content Based Video Retrieval for Animal Videos. In: Unnikrishnan, S., Surve, S., Bhoir, D. (eds) Advances in Computing, Communication and Control. ICAC3 2011. Communications in Computer and Information Science, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18440-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-18440-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18439-0

  • Online ISBN: 978-3-642-18440-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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