Martins, G. B. [UNESP]Afonso, L. C.S. [UNESP]Osaku, D.Almeida, JurandyPapa, J. P. [UNESP]2018-12-112018-12-112014-01-01Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8827, p. 893-900.1611-33490302-9743http://hdl.handle.net/11449/168181This 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.893-900engClusteringOptimum-path forestVideo summarizationTrabalho apresentado em eventoAcesso aberto2-s2.0-84949130645