Static video summarization through Optimum-Path Forest clustering
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Data
2014-01-01
Autores
Martins, G. B. [UNESP]
Afonso, L. C.S. [UNESP]
Osaku, D.
Almeida, Jurandy
Papa, J. P. [UNESP]
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Resumo
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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Clustering, Optimum-path forest, Video summarization
Como citar
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8827, p. 893-900.