Automatic thumbnail cropping and its effectiveness
Proceedings of the 16th annual ACM symposium on User interface software and technology
Automatic image retargeting with fisheye-view warping
Proceedings of the 18th annual ACM symposium on User interface software and technology
ACM SIGGRAPH 2006 Papers
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Data-driven enhancement of facial attractiveness
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Multi-operator media retargeting
ACM SIGGRAPH 2009 papers
PatchMatch: a randomized correspondence algorithm for structural image editing
ACM SIGGRAPH 2009 papers
Sketch2Photo: internet image montage
ACM SIGGRAPH Asia 2009 papers
Sensation-based photo cropping
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image retargeting using mesh parametrization
IEEE Transactions on Multimedia
Parametric reshaping of human bodies in images
ACM SIGGRAPH 2010 papers
A framework for photo-quality assessment and enhancement based on visual aesthetics
Proceedings of the international conference on Multimedia
Arcimboldo-like collage using internet images
Proceedings of the 2011 SIGGRAPH Asia Conference
Global contrast based salient region detection
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Content-based photo quality assessment
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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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Optimization of images with bad compositions has attracted increasing attention in recent years. Previous methods however seldomly consider image similarity when improving composition aesthetics. This may lead to significant content changes or bring large distortions, resulting in an unpleasant user experience. In this paper, we present a new algorithm for improving image composition aesthetics, while retaining faithful, as much as possible, to the original image content. Our method computes an improved image using a unified model of composition aesthetics and image similarity. The term of composition aesthetics obeys the rule of thirds and aims to enhance image composition. The similarity term in contrast penalizes image difference and distortion caused by composition adjustment. We use an edge-based measure of structure similarity which nearly coincides with human visual perception to compare the optimized image with the original one. We describe an effective scheme to generate the optimized image with the objective model. Our algorithm is able to produce the recomposed images with minimal visual distortions in an elegant and user controllable manner. We show the superiority of our algorithm by comparing our results with those by previous methods. © 2012 Wiley Periodicals, Inc.