%0 Journal Article %1 4563045 %A Jesus, R. %A Goncalves, D. %A Abrantes, A.J. %A Correia, N. %D 2008 %J Computer Vision and Pattern Recognition Workshops, 2008. CVPR Workshops 2008. IEEE Computer Society Conference on %K manual master_thesis %P 1-8 %R 10.1109/CVPRW.2008.4563045 %T Playing games as a way to improve automatic image annotation %X 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.

@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.}, added-at = {2008-12-17T12:56:44.000+0100}, author = {Jesus, R. and Goncalves, D. and Abrantes, A.J. and Correia, N.}, biburl = {https://www.bibsonomy.org/bibtex/20190ab8d7a4603a19c795e205fdf87ca/michi}, description = {Welcome to IEEE Xplore 2.0: Playing games as a way to improve automatic image annotation}, 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}, keywords = {manual master_thesis}, month = {June}, pages = {1-8}, timestamp = {2010-03-03T19:27:11.000+0100}, title = {Playing games as a way to improve automatic image annotation}, year = 2008 }