@article{4563045,
  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.},
  author = {Jesus, R. and Goncalves, D. and Abrantes, A.J. and Correia, N.},
  doi = {10.1109/CVPRW.2008.4563045},
  interhash = {cdd13517badd0fdd5d6455a6ea971cb4},
  intrahash = {0190ab8d7a4603a19c795e205fdf87ca},
  journal = {Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on},
  month = {June},
  pages = {1-8},
  title = {Playing games as a way to improve automatic image annotation},
  year = 2008
}