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An Introduction to Evolutionary Multi-objective Optimization with Some Applications in Pattern Recognition Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Static Video Summarization through Optimum-Path Forest Clustering

Authors : G. B. Martins, L. C. S. Afonso, D. Osaku, Jurandy Almeida, J. P. Papa

Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Publisher: Springer International Publishing

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This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental section has been conducted using several image descriptors in two public datasets, followed by an analysis of OPF robustness regarding one ad-hoc parameter. Future works are guided to improve OPF effectiveness on each distinct video category.

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previous chapter Multimodal Background Modeling Using RGB-Depth Features
next chapter Summarization of Videos by Image Quality Assessment
Metadata
Title
Static Video Summarization through Optimum-Path Forest Clustering
Authors
G. B. Martins
L. C. S. Afonso
D. Osaku
Jurandy Almeida
J. P. Papa
Copyright Year
2014
Publisher
Springer International Publishing
Book
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Print ISBN: 978-3-319-12567-1

Electronic ISBN: 978-3-319-12568-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-12568-8_108

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