Actas de congresos
Static video summarization through Optimum-Path Forest clustering
Fecha
2014-01-01Registro en:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8827, p. 893-900.
1611-3349
0302-9743
2-s2.0-84949130645
Autor
Universidade Estadual Paulista (Unesp)
Universidade de São Paulo (USP)
Universidade Federal de São Carlos (UFSCar)
Institución
Resumen
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.