ML Anthology

Playing Games as a Way to Improve Automatic Image Annotation

Rui Jesus, Duarte Gonçalves, Arnaldo J. Abrantes, Nuno Correia
CVPRW 2008 pp. 1-8
doi:10.1109/CVPRW.2008.4563045 /cvprw/2008/jesus2008cvprw-playing/

Abstract

Image annotation is hard to do in an automatic way. In this paper, we propose a framework for image annotation that combines the benefits of three paradigms: automatic annotation, human intervention and entertainment activities. We also describe our proposal inside this framework, the ASAA (application for semi-automatic annotation) interface, a new computer game for image tagging. The application has a 3D game interface, and is supported by a game engine that uses a system for automatic image classification and gestural input to play the game. We present results of the performance of semantic models obtained with a training set enlarged by images annotated during the game activity as well as usability tests of the application.

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Cite

Text

Jesus et al. "Playing Games as a Way to Improve Automatic Image Annotation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563045

Markdown

[Jesus et al. "Playing Games as a Way to Improve Automatic Image Annotation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/jesus2008cvprw-playing/) doi:10.1109/CVPRW.2008.4563045

BibTeX

@inproceedings{jesus2008cvprw-playing,
  title     = {{Playing Games as a Way to Improve Automatic Image Annotation}},
  author    = {Jesus, Rui and Gonçalves, Duarte and Abrantes, Arnaldo J. and Correia, Nuno},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-8},
  doi       = {10.1109/CVPRW.2008.4563045},
  url       = {https://mlanthology.org/cvprw/2008/jesus2008cvprw-playing/}
}