@InProceedings{SouzaArPaCoNaKeGu:2013:HiViSe,
author = "Souza, Kleber Jacques de and Araujo, Arnaldo de Albuquerque and
Patrocinio Jr, Zenilton K. Gon{\c{c}}alves and Cousty, Jean and
Najman, Laurent and Kenmochi, Yukiko and Guimaraes, Silvio Jamil
F.",
affiliation = "NPDI/DCC/UFMG and NPDI/DCC/UFMG and {VIPLAB/ICEI/PUC Minas} and
Universit{\'e} Paris-Est, LIGM, ESIEE - UPEMLV - CNRS and
Universit{\'e} Paris-Est, LIGM, ESIEE - UPEMLV - CNRS and
Universit{\'e} Paris-Est, LIGM, ESIEE - UPEMLV - CNRS and
{VIPLAB/ICEI/PUC Minas}",
title = "Hierarchical video segmentation using an observation scale",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Hierarchical video segmentation, Edge-weighted graph, Partition,
Observation scale.",
abstract = "Hierarchical video segmentation provides region-oriented
scale-space, i.e., a set of video segmentations at different
detail levels in which the segmentations at finer levels are
nested with respect to those at coarser levels. Hierarchical
methods have the interesting property of preserving spatial and
neighboring information among segmented regions. Here, we
transform the hierarchical video segmentation into a graph
partitioning problem in which each part will correspond to one
region of the video. Thus, we propose a new methodology for
hierarchical video segmentation which computes a hierarchy of
partitions by a reweighting of original graph in which a
segmentation can be easily infered. The temporal coherence is
given, only, by color information instead of more complex
features. We provide an extensive comparative analysis,
considering both quantitative and qualitative assessments showing
efficiency, ease of use, and temporal coherence of our methods.
According to our experiments, the hierarchy infered by our two
methods, p-HOScale and cp-HOScale, produces good quantitative and
qualitative results when applied to video segmentation. Moreover,
unlike other tested methods, our methods are not influenced by the
number of supervoxels to be computed, as shown in the experimental
analysis, and present a low space cost.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.51",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.51",
language = "en",
ibi = "8JMKD3MGPBW34M/3EEKE7P",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EEKE7P",
targetfile = "SIBGRAPI2013VIDEOSEG.FINAL.IEEE.pdf",
urlaccessdate = "2024, Apr. 28"
}