Please use this identifier to cite or link to this item:
http://acervodigital.unesp.br/handle/11449/116222- Title:
- Static Video Summarization through Optimum-Path Forest Clustering
- Universidade Estadual Paulista (UNESP)
- 0302-9743
- 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.
- 1-Jan-2014
- Progress In Pattern Recognition Image Analysis, Computer Vision, And Applications, Ciarp 2014. Berlin: Springer-verlag Berlin, v. 8827, p. 893-900, 2014.
- 893-900
- Springer
- video summarization
- optimum-path forest
- clustering
- http://dx.doi.org/10.1007/978-3-319-12568-8_108
- Acesso restrito
- outro
- http://repositorio.unesp.br/handle/11449/116222
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