A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic browsing of large pictures on mobile devices
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Robust Real-Time Face Detection
International Journal of Computer Vision
Gaze-based interaction for semi-automatic photo cropping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seam carving for content-aware image resizing
ACM SIGGRAPH 2007 papers
Improved seam carving for video retargeting
ACM SIGGRAPH 2008 papers
Optimized scale-and-stretch for image resizing
ACM SIGGRAPH Asia 2008 papers
Multi-operator media retargeting
ACM SIGGRAPH 2009 papers
Optimized image resizing using seam carving and scaling
ACM SIGGRAPH Asia 2009 papers
A comparative study of image retargeting
ACM SIGGRAPH Asia 2010 papers
Scene carving: scene consistent image retargeting
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Fast retargeting with adaptive grid optimization
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Scale and object aware image retargeting for thumbnail browsing
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
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Image retargeting, as a content aware technique, is regarded as a logical tool for generating image thumbnails. However, the enormous difference between the size of source and target usually hinders single retargeting method from obtaining satisfactory results. In this paper, an unified framework is proposed to fuse three popular retargeting strategies, i.e. warping, cropping, and scaling, for thumbnail generation. Complementing each other, three retargeting strategies work together efficiently. Firstly, cropping selectively discards the unimportant regions in order to free up more space for displaying important content aesthetically. Next, warping helps to incorporate as much as possible visual information into thumbnails by rearranging important content more compactly through non-uniform deformation. Finally, scaling retrains the important content at an optimal size rather than undergoing an improper shrinkage. In our solution, warping, cropping and scaling are encoded as three energy terms of the objective function respectively, which can be solved efficiently by numerical optimization. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent trade-off among smoothness, completeness and distinguishableness in thumbnail generation. Through these results, our method shows obvious superiority over state-of-the-art techniques.