Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/6041
| Title: | Hypergraph-based saliency map generation with potential region-of-interest approximation and validation | Authors: | Liang, Z Fu, H Chi, ZG Feng, DD |
Issue Date: | Jan-2012 | Source: | Journal of electronic imaging, Jan. 2012, v. 21, no. 1, 013012, p. 1-4 | Abstract: | A novel saliency model is proposed in this paper to automatically process images in the similar way as the human visual system which focuses on conspicuous regions that catch human beings’ attention. The model combines a hypergraph representation and a partitioning process with potential region-of-interest (p-ROI) approximation and validation. Experimental results demonstrate that the proposed method shows considerable improvement in the performance of saliency map generation. | Keywords: | Approximation theory Graph theory Image representation |
Publisher: | SPIE-International Society for Optical Engineering | Journal: | Journal of electronic imaging | ISSN: | 1017-9909 | EISSN: | 1560-229X | DOI: | 10.1117/1.JEI.21.1.013012 | Rights: | Liang Z, Fu H, Chi Z and Feng D, "Hypergraph-based saliency map generation with potential region-of-interest approximation and validation," J. Electron. Imaging., 21(1), 013012, p. 1-4 (2012) Copyright 2012 Society of Photo-Optical Instrumentation Engineers & Society for Imaging Science and Technology. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/1.JEI.21.1.013012. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Liang_Hypergraph-based_Saliency_Map.pdf | 2.46 MB | Adobe PDF | View/Open |
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