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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Weiming Dong Fuzhang Wu Yan Kong Xing Mei Tong-Yee Lee Xiaopeng Zhang |
| Copyright Year | 1995 |
| Abstract | Real-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. By detecting the textural regions in an image, the textural image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textural & non-textural regions with different strategies since they have different natures. We propose to retarget the textural regions by example-based synthesis and non-textural regions by fast multi-operator. To achieve practical retargeting applications for general images, we develop an automatic and fast texture detection method that can detect multiple disjoint textural regions. We adjust the saliency of the image according to the features of the textural regions. To validate the proposed method, comparisons with state-of-the-art image retargeting techniques and a user study were conducted. Convincing visual results are shown to demonstrate the effectiveness of the proposed method. |
| Sponsorship | IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society |
| Starting Page | 1088 |
| Ending Page | 1101 |
| Page Count | 14 |
| File Size | 3840097 |
| File Format | |
| ISSN | 10772626 |
| Volume Number | 22 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Visualization Shape Benchmark testing Reliability Image segmentation Feature extraction texture-aware synthesis Natural image texture detection texture-based significance map |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software |
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