A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Sensation-based photo cropping
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A framework for photo-quality assessment and enhancement based on visual aesthetics
Proceedings of the international conference on Multimedia
Realtime aesthetic image retargeting
Computational Aesthetics'10 Proceedings of the Sixth international conference on Computational Aesthetics in Graphics, Visualization and Imaging
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We present a semi-automatic photographic recomposition approach that employs a semantics-preserving warp of the input image to enhance the visual dominance of the main subjects. Our method uses the tearable image warping method to shift the subjects against the background (and vice versa), so that their visual dominance is improved, and yet preserve the desired spatial semantics between the subjects and the background. The recomposition is guided by a measure of the resulting visual dominance of the main subjects. Our user experiment shows the effectiveness of the approach.