International Conference on Similarity Search and Applications

Similarity Search and Applications pp 347-350 | Cite as

FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover’s Distance

  • Merih Seran Uysal
  • Christian Beecks
  • Daniel Sabinasz
  • Thomas Seidl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9371)

Abstract

In this paper, we demonstrate our novel system, called FELICITY, which is capable of processing user-adaptive content-based k-nearest-neighbor queries efficiently by utilizing video signatures and the Earth Mover’s Distance (EMD). To this end, we implement an optimal multi-step query processing algorithm by approximating the EMD between any two video signatures by utilizing lower-bounding filter approximation techniques. The system enables the user to adapt query parameters and interact with the system, helping him to find out the best parameter combination for the desired similarity tasks. Moreover, our system incorporates a user-friendly visualization interface for the EMD flow between video signatures, providing an intuitive understanding of the EMD and video similarity.

Keywords

Earth mover’s distance Video similarity search Query processing Feature extraction 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Merih Seran Uysal
    • 1
  • Christian Beecks
    • 1
  • Daniel Sabinasz
    • 1
  • Thomas Seidl
    • 1
  1. 1.Data Management and Exploration GroupRWTH Aachen UniversityAachenGermany

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