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
Energy-based image deformation
SGP '09 Proceedings of the Symposium on Geometry Processing
A comparative study of image retargeting
ACM SIGGRAPH Asia 2010 papers
Learning to Detect a Salient Object
IEEE Transactions on Pattern Analysis and Machine Intelligence
Importance filtering for image retargeting
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Rectangling panoramic images via warping
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Image retargeting algorithms aim to adapt the image to the display screen with the goal of preserving the image content as much as possible. However, existing methods and research efforts have mostly been directed towards retargeting algorithms that retarget images to rectangular domains. This significantly hampers its application to broader classes of display devices and platforms for which the display area can be of any origins and shapes. For example, seam carving-based methods retarget images by carving out seams that run from the top to the bottom of the images, and this results in changing the width and therefore aspect ratio of the image without changing the shape of the image boundary in any essential way. However, by carving out appropriately-chosen seam segments, seams that are not required to cut across the entire image, it is then possible to retarget the images to a broader array of image domains with non-rectangular boundaries. Based on this simple idea of carving out the seam segments, the main contribution of this paper is a novel image retargeting algorithm that is capable of retargeting images to non-rectangular domains. We evaluate the effectiveness of the proposed method on a number of challenging indoor and outdoor scene images, and the results demonstrate that the proposed algorithm is both efficient and effective, and it is capable of providing good-quality retargeted images for a variety of interesting boundary shapes.