Using Games to improve Computer Vision Solutions

Oge Marques | Distinguished ACM Speaker | Florida Atlantic University (FAU) | May 10, 2016 | 14:00 | Seeparkhotel (co-located with

Abstract: There are many challenging problems in computer vision for which state-of-the-art solutions fall short of performing perfectly. The realization that many of these tasks are arduous for computers yet are relatively easy for humans has inspired many researchers to approach those problems from a human computation viewpoint, using methods that include crowdsourcing and games often called games with a purpose(GWAPs). The talk discusses how we can use human computation (in general) and particularly games to help uncover hidden aspects of visual perception and use these findings to improve computer vision solutions to related problems.

marquesBio: Oge Marques ( is Professor of Computer and Electrical Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida). He has more than 25 years of teaching and research experience in the fields of image processing and computer vision. His research interests are in the area of intelligent processing of visual information, which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception. He is particularly interested in the combination of human computation and machine learning techniques to solve computer vision problems. He is the (co-) author of two patents, more than 100 refereed journal and conference papers, and several books in these topics, including the textbook Practical Image and Video Processing Using MATLAB (Wiley-IEEE Press, 2011). He is Editor-in-Chief (with Borko Furht) of the upcoming 3rd edition of the Encyclopedia of Multimedia ( He is a senior member of both the ACM and the IEEE and a member of the honor societies of Tau Beta Pi, Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.

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