Dense and Sparse Reconstruction Error Based Saliency Descriptor
In this paper, we propose a visual saliency detection algorithm from the perspective of reconstruction error. The image boundaries are first extracted via superpixels as likely cues for background templates, from which dense and sparse appearance models are constructed. First, we compute dense and s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 4 vom: 25. Apr., Seite 1592-603
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| 1. Verfasser: |
Lu, Huchuan
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Xiaohui,
Zhang, Lihe,
Ruan, Xiang,
Yang, Ming-Hsuan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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