Graph-based Supervoxel Computation from Iterative Spanning Forest
| Autor: | Felipe Belém, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio, Laurent Najman, Sarah Almeida Carneiro, Carolina Stephanie Jerônimo de Almeida |
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| Přispěvatelé: | Pontifical Catholic University of Minas Gerais [Belo Horizonte], University of Campinas [Campinas] (UNICAMP), Laboratoire d'Informatique Gaspard-Monge (LIGM), École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel, Universidade Estadual de Campinas (UNICAMP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Spanning forest Pipeline (computing) Computation [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] 02 engineering and technology 030218 nuclear medicine & medical imaging Reduction (complexity) Set (abstract data type) 03 medical and health sciences 0302 clinical medicine [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] 0202 electrical engineering electronic engineering information engineering Oversampling Graph (abstract data type) 020201 artificial intelligence & image processing Segmentation Algorithm ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Discrete Geometry and Mathematical Morphology (DGMM) Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden Lecture Notes in Computer Science ISBN: 9783030766566 DGMM |
| Popis: | Supervoxel segmentation leads to major improvements in video analysis since it generates simpler but meaningful primitives (i.e., supervoxels). Thanks to the flexibility of the Iterative Spanning Forest (ISF) framework and recent strategies introduced by the Dynamic Iterative Spanning Forest (DISF) for superpixel computation, we propose a new graph-based method for supervoxel generation by using iterative spanning forest framework, so-called ISF2SVX, based on a pipeline composed by four stages: (a) graph creation; (b) seed oversampling; (c) IFT-based superpixel delineation; and (d) seed set reduction. Moreover, experimental results show that ISF2SVX is capable of effectively describing the video’s color variation through its supervoxels, while being competitive for the remaining metrics considered. |
| Databáze: | OpenAIRE |
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