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Surface simplification by image retargeting
ACM SIGGRAPH ASIA 2009 Sketches, 2009Surface simplification aims to reduce the complexity of a 3D model while maintaining a good approximation to the original model. In this work, we propose a novel combination of geometry images and content-aware image resizing to achieve efficient surface simplification. There are two main advantages to simplify surface based on geometry images.
Shu-Fan Wang +3 more
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Constrained sampling for image retargeting
2008 IEEE International Conference on Multimedia and Expo, 2008In this paper, we present a new approach for retargeting large images to mobile devices with small screens. As the core of image retargeting, information fidelity is adequately considered in terms of reservations of salient regions, edge integrity, and image layout.
Tongwei Ren +3 more
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Image Based Proximate Shadow Retargeting
In Proceedings of the Computer Graphics and Visual Computing (CGVC) Conference 2018 (, 2018Graphics
Llogari Casas +4 more
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Building an Image Database for Studying Image Retargeting
2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), 2017Modern electronic devices(such as TVs, laptops, and mobile devices) come with a huge variety in screen sizes, resolutions, and aspect ratios. Image retargeting is a technique to retarget or (resize) an image to better utilize the viewing device screen and to protect the main content of the image.
Mohammad A. Alsmirat +4 more
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Contour-Preserved Retargeting of Cartoon Images
2014 IEEE 17th International Conference on Computational Science and Engineering, 2014Mobile comic is now evolving into an industry with great potential for its convenience, huge user base etc. A key challenge in mobile comic is to adapt the comic content to various mobile screens for better visual effect, which is also called image retargeting.
Xing Gao 0004 +4 more
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Image retargeting using controlled shrinkage
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, 2012The problem of retargeting a larger image in a small display is to maintain recognizability of the objects. The retargeting scheme proposed in this paper provides a suitable solution to this. The input image is partitioned into rectangular strips such that alternate strips contain important or unimportant objects.
Rajarshi Pal +2 more
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Fast patch-wise image retargeting
2016 IEEE International Conference on Image Processing (ICIP), 2016Content-aware image retargeting adjusts images to arbitrary sizes and preserves visually salient content. Previous algorithms formulate the problem in terms of either pixel level or mesh level structures, deforming salient objects inconsistently. To improve retargeting quality and reduce complexity, we introduced a patch-wise method to generate sparse ...
Yichi Zhang 0014, King Ngi Ngan
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Similarity and rigidity preserving image retargeting
2016 IEEE International Conference on Image Processing (ICIP), 2016Conventional Image Retargeting methods aim to preserve the salient regions in an image using As Similar as Possible (ASAP) energy formulation or As Rigid as Possible (ARAP) energy formulation. ASAP energy formulation preserves the shape of the salient object while the scale of salient object can get distorted in the retargeted image.
Biplab Chandra Das +3 more
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Image Retargeting by Texture-Aware Synthesis
IEEE Transactions on Visualization and Computer Graphics, 2016Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on exampled-based texture synthesis to enhance content-aware image retargeting.
Weiming Dong +5 more
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Image retargeting with multifocus fisheye transformation
The Visual Computer, 2012Image retargeting is a technique to adapt an original image to diverse screen sizes and aspect ratios on computing devices. This paper focuses on adapting large images for a small display. Some existing methods, such as scaling, cropping, and fisheye warping, are often flawed because they may lose the necessary details of the image, scarify content ...
Lixia Zhang 0005 +4 more
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