%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2015/06.19.21.45
%2 sid.inpe.br/sibgrapi/2015/06.19.21.45.56
%@doi 10.1109/SIBGRAPI.2015.23
%T Streaming graph-based hierarchical video segmentation by a simple label propagation
%D 2015
%A Souza, Kleber Jacques Ferreira de,
%A Araújo, Arnaldo de Albuquerque,
%A Guimarães, Silvio J. F.,
%A Jr. , Zenilton K. G. do Patrocínio,
%A Cord, Matthieu,
%@affiliation UFMG
%@affiliation UFMG
%@affiliation PUC Minas
%@affiliation PUC Minas
%@affiliation UPMC - Sorbonne Universités
%E Papa, João Paulo,
%E Sander, Pedro Vieira,
%E Marroquim, Ricardo Guerra,
%E Farrell, Ryan,
%B Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)
%C Salvador, BA, Brazil
%8 26-29 Aug. 2015
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K Streaming video segmentation, Observation scale, Graph-based segmentation, Label propagation.
%X In this paper, we present an approach to streaming graph-based hierarchical video segmentation by simple label propagation. Here, we transform the streaming video segmentation into a graph partitioning problem in which each part corresponds to one region of the video; furthermore, we apply a simple method for merging the segmentations of two consecutive blocks to achieve the temporal coherence. The spatial-temporal coherence is given, only, by color information instead of more complex features. We provide an extensive comparative analysis among our method and methods in the literature showing efficiency, ease of use, and temporal coherence of ours. According to the experiments, our method produces good results when applied to video segmentation besides presenting a low space and time cost, compared to other methods.
%@language en
%3 PID3761919.pdf