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Video Retrieval Using Local Binary Pattern

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Computational Intelligence in Data Mining - Volume 1

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 31))

Abstract

Local binary pattern (LBP) operator is defined as gray-scale invariant texture measure. The LBP operator is a unifying approach to the traditionally divergent statistical and structural models for texture analysis. In this paper the LBP, its variants along with Gabor filters are used as a texture feature for content-based video retrieval (CBVR). The combinations of different thresholds over different pattern using Gabor filter bank are experimented to compare the retrieved video documents. The typical system architecture is presented which helps to process query, perform indexing, and retrieve videos form the given video datasets. The precision and mean average precision (MAP) are used over the recent large TRECViD 2010 and YouTube Action video datasets to evaluate the system performance. We observe that the proposed variant features used for video indexing and retrieval is comparable and useful, and also giving better retrieval efficiency for the above available standard video datasets.

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Acknowledgments

I would like to thank my teachers and the colleagues of SAKEC, DBIT, and PIIT for encouraging me for implementation and writing papers.

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Authors and Affiliations

  1. Department of Information Technology, PIIT, New Panvel, Navi Mumbai, India

    Satishkumar Varma

  2. Department of Electronics and Telecommunication, SGGSIE&T, Vishnupuri, Nanded, India

    Sanjay Talbar

Authors
  1. Satishkumar Varma
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  2. Sanjay Talbar
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Corresponding author

Correspondence to Satishkumar Varma .

Editor information

Editors and Affiliations

  1. University of Canberra, Canberra, Australia and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Varma, S., Talbar, S. (2015). Video Retrieval Using Local Binary Pattern. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 1. Smart Innovation, Systems and Technologies, vol 31. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2205-7_12

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  • DOI: https://doi.org/10.1007/978-81-322-2205-7_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2204-0

  • Online ISBN: 978-81-322-2205-7

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