FELICITY: A flexible video similarity search framework using the earth mover’s distance

4Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Uysal, M. S., Beecks, C., Sabinasz, D., & Seidl, T. (2015). FELICITY: A flexible video similarity search framework using the earth mover’s distance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9371, pp. 347–350). Springer Verlag. https://doi.org/10.1007/978-3-319-25087-8_34

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free