The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic image retargeting with fisheye-view warping
Abstract
Image retargeting is the problem of adapting images for display on devices different than originally intended. This paper presents a method for adapting large images, such as those taken with a digital camera, for a small display, such as a cellular telephone. The method uses a non-linear fisheye-view warp that emphasizes parts of an image while shrinking others. Like previous methods, fisheye-view warping uses image information, such as low-level salience and high-level object recognition to find important regions of the source image. However, unlike prior approaches, a non-linear image warping function emphasizes the important aspects of the image while retaining the surrounding context. The method has advantages in preserving information content, alerting the viewer to missing information and providing robustness.
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Citations
Cites
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
Cited by
Improved content aware scene retargeting for retinitis pigmentosa patients
Al-Atabany, W. I., Tong, T., & Degenaar, P. A. (2010) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-9-52 · Cited by 25
Metadata
- Authors
- Liu, F., & Gleicher, M.
- Venue
- Proceedings of the 18th annual ACM symposium on User interface software and technology
- Publisher
- ACM
- Published
- 2005-10-23
- Pages
- 153-162
- OpenAlex
- W2075708502
- Cited by
- 179
- References
- 1
- FWCI
- 6.51
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
