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

Part of the Lecture Notes in Computer Science book series (LNISA,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.

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Correspondence to Merih Seran Uysal .

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© 2015 Springer International Publishing Switzerland

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Uysal, M.S., Beecks, C., Sabinasz, D., Seidl, T. (2015). FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover’s Distance. In: Amato, G., Connor, R., Falchi, F., Gennaro, C. (eds) Similarity Search and Applications. SISAP 2015. Lecture Notes in Computer Science(), vol 9371. Springer, Cham. https://doi.org/10.1007/978-3-319-25087-8_34

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  • DOI: https://doi.org/10.1007/978-3-319-25087-8_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25086-1

  • Online ISBN: 978-3-319-25087-8

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