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Video Clip Retrieval by Graph Matching

  • Manal Al Ghamdi
  • Yoshihiko Gotoh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)

Abstract

This paper presents a new approach to video clip retrieval using the Earth Mover’s Distance (EMD). The approach builds on the many-to-many match methodology between two graph-based representations. The problem of measuring similarity between two clips is formulated as a graph matching task in two stages. First, a bipartite graph with spatio-temporal neighbourhood is constructed to explore the relation between data points and estimate the relevance between a pair of video clips. Secondly, using the EMD, the problem of matching a clip pair is converted to computing the minimum cost of transportation within the spatio-temporal graph. Experimental results on the UCF YouTube Action dataset show that the presented work attained a significant improvement in retrieval capability over conventional techniques.

Keywords

graph matching Earth Mover’s Distance video retrieval 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Manal Al Ghamdi
    • 1
  • Yoshihiko Gotoh
    • 1
  1. 1.Department of Computer ScienceUniversity of SheffieldUnited Kingdom

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