Detail publikace

Feature extraction for efficient image and video segmentation

VOJVODA, J. BERAN, V.

Originální název

Feature extraction for efficient image and video segmentation

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The segmentation of sensory data of various domains is often crucial pre-processing step in many computer vision methods and applications. In this work, we propose a method that leverages the quantization of local features distributions for the depth and the temporal information. Three variants of the segmentation method is designed and evaluated reflecting various data domains: space (color and texture), temporal (motion) and depth domain. Each variant was tested on appropriate dataset showing the usability of designed method for applications like areal-image analysis, hand detection and moving-people detection. The pilot experiments shows the characteristics of the approach and computational costs of designed variants. 

Klíčová slova

Color/Texture segmentation, Motion segmentation, RGB-D/T segmentation

Autoři

VOJVODA, J.; BERAN, V.

Vydáno

27. 4. 2016

Nakladatel

Association for Computing Machinery

Místo

Smolenice

ISBN

978-1-4503-4436-4

Kniha

Proceedings - SCCG 2016: 32nd Spring Conference on Computer Graphics

Strany od

75

Strany do

80

Strany počet

6

URL

https://www.fit.vut.cz/research/publication/11086/

BibTex

@inproceedings{BUT130940,
  author="Jakub {Vojvoda} and Vítězslav {Beran}",
  title="Feature extraction for efficient image and video segmentation",
  booktitle="Proceedings - SCCG 2016: 32nd Spring Conference on Computer Graphics",
  year="2016",
  pages="75--80",
  publisher="Association for Computing Machinery",
  address="Smolenice",
  doi="10.1145/2948628.2948631",
  isbn="978-1-4503-4436-4",
  url="https://www.fit.vut.cz/research/publication/11086/"
}