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| Content Provider | ACM Digital Library |
|---|---|
| Author | Ma, Wei-Ying Xie, Xing Liu, Hao Zhang, Hong-Jiang |
| Abstract | Pictures have become increasingly common and popular in mobile communications. However, due to the limitation of mobile devices, there is a need to develop new technologies to facilitate the browsing of large pictures on the small screen. In this paper, we propose a novel approach which is able to automate the scrolling and navigation of a large picture with a minimal amount of user interaction on mobile devices. An image attention model is employed to illustrate the information structure within an image. An optimal image browsing path is then calculated based on the image attention model to simulate the human browsing behaviors. Experimental evaluations of the proposed mechanism indicate that our approach is an effective way for viewing large images on small displays. |
| Starting Page | 148 |
| Ending Page | 155 |
| Page Count | 8 |
| File Format | |
| ISBN | 1581137222 |
| DOI | 10.1145/957013.957045 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2003-11-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Attention model Image adaptation Adaptive content delivery Information foraging Form factor Browsing path |
| Content Type | Text |
| Resource Type | Article |
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