@InProceedings{LacerdaCunhGuim:2023:SuApEf,
author = "Lacerda, Lucca S. P. and Cunha, Felipe D. and Guimar{\~a}es,
Silvio J. F.",
affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica de Minas Gerais}
and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica de Minas
Gerais} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica de
Minas Gerais}",
title = "Supervoxel Approach in an Efficient Multiscale Object-Based
Framework",
booktitle = "Proceedings...",
year = "2023",
editor = "Clua, Esteban Walter Gonzalez and K{\"o}rting, Thales Sehn and
Paulovich, Fernando Vieira and Feris, Rogerio",
organization = "Conference on Graphics, Patterns and Images, 36. (SIBGRAPI)",
keywords = "Supervoxel Computation, Image Segmentation, Image Foresting
Transform, Object Saliency Map.",
abstract = "The use of supervoxel segmentation has shown substantial provement
in video analysis because it can improve object delineation and
reduce computer workload. In this work, we have used SICLE
(Superpixel Through Iterative Clearcutting), which is an
innovative graph-based superpixel framework that makes multi-scale
segmentation by exploiting object information. For segmenting
videos, we changed the graph creation step. The framework has
exceeded state-of-the-art approaches, and its results precisely
delineate the object of interest.",
conference-location = "Rio Grande, RS",
conference-year = "Nov. 06-09, 2023",
language = "en",
ibi = "8JMKD3MGPEW34M/4AQ5HD5",
url = "http://urlib.net/ibi/8JMKD3MGPEW34M/4AQ5HD5",
targetfile = "2023_conf_sibgrapi_wuw_lucca_video.pdf",
urlaccessdate = "2024, Apr. 28"
}