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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Playing games as a way to improve automatic image annotation
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Rui Jesus, Interactive Multimedia Group, CITI and DI/FCT, New University of Lisbon, Portugal
Duarte Goncalves, Interactive Multimedia Group, CITI and DI/FCT, New University of Lisbon, Portugal
Arnaldo J. Abrantes, Multimedia and Machine Learning Group, Instituto Superior de Engenharia de Lisboa, Quinta da Torre, 2825 Monte da Caparica, Portugal
Nuno Correia, Interactive Multimedia Group, CITI and DI/FCT, New University of Lisbon, Portugal
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.
Citation:
Rui Jesus, Duarte Goncalves, Arnaldo J. Abrantes, Nuno Correia, "Playing games as a way to improve automatic image annotation," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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