Gaze-based interaction for semi-automatic photo cropping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MUM '05 Proceedings of the 4th international conference on Mobile and ubiquitous multimedia
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
Image retargeting using mesh parametrization
IEEE Transactions on Multimedia
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
Efficient large-scale stereo matching
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Importance filtering for image retargeting
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Geometrically consistent stereo seam carving
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
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This paper introduces a novel image retargeting algorithm for 3D images given as pairs of stereo images. In the context of 3D image retargeting, the novel viewpoint advocated in this paper is that the geometric consistency in the form of preserving disparity values should not be an overpowering objective formulated as hard constraints. Instead, for maximizing viewing experience and comfort, it is desirable to simultaneously retarget the images as well as adjust the disparity values. The proposed retargeting algorithm is based on the methods of shift-map and importance filtering, and the main technical contribution of this paper is a successful extension of these earlier techniques to 3D images. We have evaluated the proposed method extensively, and the results demonstrate the efficiency of the proposed method as well as its potential for producing high-quality outputs. In particular, comparing with the state-of-the-art, the proposed method has a considerably shorter running time, and at the same time, it produces the retargeted 3D images that are more agreeable and pleasing for viewing.