Region contrast and supervised locality-preserving projection-based saliency detection
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| 003 | CHVBK | ||
| 005 | 20210128100911.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00371-014-1005-7 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-014-1005-7 | ||
| 245 | 0 | 0 | |a Region contrast and supervised locality-preserving projection-based saliency detection |h [Elektronische Daten] |c [Yanjiao Shi, Yugen Yi, Hexin Yan, Jiangyan Dai, Ming Zhang, Jun Kong] |
| 520 | 3 | |a As an important problem in computer vision, saliency detection is essential for image segmentation, super-resolution, object recognition, etc. In this paper, we propose a novel method for saliency detection on image using region contrast and machine learning approaches. An image boundary extension-based general framework is proposed that can be used for all rarity- or sparsity-based schemes to improve their performances. Then, a saliency map based on boundary extension and region contrast is constructed. Due to its unsatisfactory performance, another saliency map combining supervised locality-preserving projection and support vector regression is built, to complement the previous saliency map. A final saliency map can be obtained by fusing these two saliency maps. The proposed method is evaluated on the publicly available dataset MSRA-1000 and compared with 13 state-of-the-art methods. Experimental results indicate that the proposed method outperforms existing schemes both in qualitative and quantitative comparisons. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Saliency detection |2 nationallicence | |
| 690 | 7 | |a Region contrast |2 nationallicence | |
| 690 | 7 | |a Boundary extension |2 nationallicence | |
| 690 | 7 | |a Supervised locality-preserving projection |2 nationallicence | |
| 690 | 7 | |a Support vector regression |2 nationallicence | |
| 700 | 1 | |a Shi |D Yanjiao |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 700 | 1 | |a Yi |D Yugen |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 700 | 1 | |a Yan |D Hexin |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 700 | 1 | |a Dai |D Jiangyan |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 700 | 1 | |a Zhang |D Ming |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 700 | 1 | |a Kong |D Jun |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/9(2015-09-01), 1191-1205 |x 0178-2789 |q 31:9<1191 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-014-1005-7 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-014-1005-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Shi |D Yanjiao |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yi |D Yugen |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yan |D Hexin |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Dai |D Jiangyan |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhang |D Ming |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kong |D Jun |u Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/9(2015-09-01), 1191-1205 |x 0178-2789 |q 31:9<1191 |1 2015 |2 31 |o 371 | ||