@InProceedings{MartinsPapaAlme:2016:TeSpVi,
author = "Martins, Guilherme Brand{\~a}o and Papa, Jo{\~a}o Paulo and
Almeida, Jurandy Gomes de",
affiliation = "{Sao Paulo State University} and {Sao Paulo State University} and
{Federal University of Sao Carlos}",
title = "Temporal- and Spatial-Driven Video Summarization Using
Optimum-Path Forest",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "IEEE Computer Society´s Conference Publishing Services",
address = "Los Alamitos",
keywords = "Optimum-Path Forest, Video Summarization.",
abstract = "Video summarization aims at generating reduced representations for
fast and effective video retrieval and classification. In this
paper, we cope with such problem by proposing a temporal- and
spatial-driven approach that makes use of the Optimum-Path Forest
(OPF) clustering to automatic find the number of keyframes, as
well as to extract them to compose the final summary. The
experiments in two public datasets show OPF can outperform very
recent results, thus achieving a performance comparable to some
state-of-the-art techniques.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
doi = "10.1109/SIBGRAPI.2016.053",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.053",
language = "en",
ibi = "8JMKD3MGPAW/3M3FF9E",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3M3FF9E",
targetfile = "paper.pdf",
urlaccessdate = "2024, May 02"
}