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Optimizing Photo Composition
Author(s) -
Liu Ligang,
Chen Renjie,
Wolf Lior,
CohenOr Daniel
Publication year - 2010
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2009.01616.x
Subject(s) - composition (language) , salient , computer science , image (mathematics) , variety (cybernetics) , artificial intelligence , computer vision , position (finance) , aesthetics , art , literature , finance , economics
Aesthetic images evoke an emotional response that transcends mere visual appreciation. In this work we develop a novel computational means for evaluating the composition aesthetics of a given image based on measuring several well‐grounded composition guidelines. A compound operator of crop‐and‐retarget is employed to change the relative position of salient regions in the image and thus to modify the composition aesthetics of the image. We propose an optimization method for automatically producing a maximally‐aesthetic version of the input image. We validate the performance of the method and show its effectiveness in a variety of experiments.