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Video Retrieval Using Local Binary Pattern

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (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.

Keywords

Texture Local binary pattern Gabor filter Query processing Video indexing Video retrieval 

Notes

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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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Information TechnologyPIITNew Panvel, Navi MumbaiIndia
  2. 2.Department of Electronics and TelecommunicationSGGSIE&TVishnupuri, NandedIndia

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