Aesthetics and Emotions in Images: A Computational Perspective
Dhiraj Joshi (Kodak Research), Ritendra Datta (Google), Quang-Tuan
Elena Fedorovskaya (Kodak Research),
James Z. Wang (The Pennsylvania State University and National Science
Jia Li (The Pennsylvania State University)
and Jiebo Luo (Kodak Research)
In this tutorial, we define and discuss key aspects of the problem of
computational inference of aesthetics and emotion from images. We
begin with a background discussion on philosophy, photography,
paintings, visual arts, and psychology. This is followed by
introduction of a set of key computational problems that the research
community has been striving to solve and the computational framework
required for solving them. We also describe data sets available for
performing assessment and outline several real-world applications
where research in this domain can be employed. A significant number of
papers that have attempted to solve problems in aesthetics and emotion
inference are surveyed in this tutorial. We also discuss future
directions that researchers can pursue and make a strong case for
seriously attempting to solve problems in this research domain.
(IEEE PDF, 3.6MB)
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Dhiraj Joshi, Ritendra Datta, Quang-Tuan Luong, Elena Fedorovskaya,
James Z. Wang, Jia Li and Jiebo Luo, ``Aesthetics and Emotions in
Images: A Computational Perspective,'' IEEE Signal Processing
Magazine, vol. 28, no. 5, pp. 94-115, September 2011.
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September 1, 2011