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A framework for visual saliency detection with applications to image thumbnailing
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2009 |
| Abstract | We propose a novel framework for visual saliency detection based on a simple principle: images sharing their global visual appearances are likely to share similar salience. Assuming that an annotated image database is available, we first retrieve the most similar images to the target image; secondly, we build a simple classifier and we use it to generate saliency maps. Finally, we refine the maps and we extract thumbnails. We show that in spite of its simplicity, our framework outperforms state-of-the art approaches. Another advantage is its ability to deal with visual pop-up and application/task-driven saliency, if appropriately annotated images are available. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.xrce.xerox.com/content/download/23721/171685/file/ |
| Alternate Webpage(s) | http://www.xrce.xerox.com/content/download/23721/171685/ |
| Alternate Webpage(s) | http://www.xrce.xerox.com/content/download/23721/171685/file/2009-020Final.pdf |
| Alternate Webpage(s) | http://www.xrce.xerox.com/layout/set/print/content/download/16677/118722/file/2009-020Final.pdf |
| Alternate Webpage(s) | http://www.xrce.xerox.com/content/download/20880/148631/file/2009-020Final.pdf |
| Alternate Webpage(s) | http://www.europe.naverlabs.com/layout/set/print/content/download/23721/171685/file/2009-020Final.pdf |
| Alternate Webpage(s) | http://www.xrce.xerox.com/layout/set/print/content/download/23721/171685/file/2009-020Final.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |