OPFSumm: on the video summarization using Optimum-Path Forest

Author:

Martins Guilherme B.,Pereira Danillo R.,Almeida Jurandy G.,de Albuquerque Victor Hugo C.ORCID,Papa João PauloORCID

Funder

FAPESP

CNPq

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference41 articles.

1. Almeida J, Leite NJ, Torres RS (2012) VISON: VIdeo Summarization for ONline applications. Pattern Recogn Lett 33(4):397–409

2. Almeida J, Leite NJ, Torres RS (2013) Online video summarization on compressed domain. J Vis Commun Image Represent 24(6):729–738

3. Amorim WP, Falcão AX, Papa JP, Carvalho MH (2016) Improving semi-supervised learning through optimum connectivity. Pattern Recogn 60:72–85

4. Avila SEF, Lopes APB, Luz A Jr, Araújo AA (2011) VSUMM: a mechanism designed to produce static video summaries and a novel evaluation method. Pattern Recogn Lett 32(1):56–68

5. Castelo-Fernández C, Calderón-Ruiz G (2015) Progress in pattern recognition, image analysis, computer vision, and applications. In: Pardo A, Kittler J (eds) 20th Iberoamerican congress on pattern recognition, lecture notes in computer science, vol 9423, chap. Automatic video summarization using the optimum-path forest unsupervised classifier. Springer International Publishing, New York, pp 760–767

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