Optimizing Photo Composition

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. Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation—Display algorithms

• Type: Conference
• Year: 2010
• Where: EUROGRAPHICS
• Authors: Ligang G. Liu, Renjie J. Chen, Lior Wolf, Daniel Cohen-Or
• Keywords: Composition Aesthetics, Computer Graphics, EUROGRAPHICS 2010, Mere Visual Appreciation, Well-grounded Composition Guidelines