caa a22 4500 605540306 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00371-014-1005-7 doi (NATIONALLICENCE)springer-10.1007/s00371-014-1005-7 Region contrast and supervised locality-preserving projection-based saliency detection [Elektronische Daten] [Yanjiao Shi, Yugen Yi, Hexin Yan, Jiangyan Dai, Ming Zhang, Jun Kong] 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. Springer-Verlag Berlin Heidelberg, 2014 Saliency detection nationallicence Region contrast nationallicence Boundary extension nationallicence Supervised locality-preserving projection nationallicence Support vector regression nationallicence Shi Yanjiao Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut Yi Yugen Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut Yan Hexin Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut Dai Jiangyan Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut Zhang Ming Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut Kong Jun Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut The Visual Computer Springer Berlin Heidelberg 31/9(2015-09-01), 1191-1205 0178-2789 31:9<1191 2015 31 371 https://doi.org/10.1007/s00371-014-1005-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-1005-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shi Yanjiao Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 700 1- Yi Yugen Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 700 1- Yan Hexin Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 700 1- Dai Jiangyan Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 700 1- Zhang Ming Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 700 1- Kong Jun Key Laboratory of Intelligent Information Processing of Jilin Universities, School of Computer Science and Information Technology, Northeast Normal University, 130117, Changchun, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/9(2015-09-01), 1191-1205 0178-2789 31:9<1191 2015 31 371