gbvs

gbvs: Graph-Based Visual Saliency (MATLAB source code). (1) Compute a ”Graph-Based Visual Saliency” map for an image or image sequence (video) (as described in J. Harel, C. Koch, and P. Perona. ”Graph-Based Visual Saliency”, NIPS 2006 http://www.klab.caltech.edu/ harel/pubs/gbvs_nips.pdf) (2) Compute the standard Itti, Koch, Niebur (PAMI 1998) saliency map. (3) Compute modified versions of the above by altering the input parameters.


References in zbMATH (referenced in 22 articles )

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  1. Álvarez-Miranda, Eduardo; Díaz-Guerrero, John: Multicriteria saliency detection: a (exact) robust network design approach (2020)
  2. Galiano, G.; Ramírez, I.; Schiavi, E.: Non-convex non-local reactive flows for saliency detection and segmentation (2020)
  3. Calden Wloka, Toni Kunić, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, John K. Tsotsos: SMILER: Saliency Model Implementation Library for Experimental Research (2018) arXiv
  4. Sen, Debashis; Kankanhalli, Mohan S.: Early biological vision inspired system for salience computation in images (2018)
  5. Andrushia, A. Diana; Thangarajan, R.: An efficient visual saliency detection model based on Ripplet transform (2017)
  6. Hu, Yanxiang; Zhang, Bo: A bio-inspired two-scale complementarity evaluation method for image fusion (2017)
  7. Ma, Junhai; Guo, Zhanbing: Implications for firms with limited information to take advantage of reference price effect in competitive settings (2017)
  8. Zhang, Ying-Ying; Wang, Zhi-Peng; Lv, Xiao-Dong: Saliency detection via sparse reconstruction errors of covariance descriptors on Riemannian manifolds (2016)
  9. Kong, Deming; Duan, Liangliang; Wu, Peiliang; Yang, Wenji: Salient region detection via feature combination and discriminative classifier (2015)
  10. Qi, Wei; Cheng, Ming-Ming; Borji, Ali; Lu, Huchuan; Bai, Lian-Fa: Saliencyrank: two-stage manifold ranking for salient object detection (2015)
  11. Tian, Yonghong; Li, Jia; Yu, Shui; Huang, Tiejun: Learning complementary saliency priors for foreground object segmentation in complex scenes (2015)
  12. Li, Jia; Tian, Yonghong; Huang, Tiejun: Visual saliency with statistical priors (2014)
  13. Hou, Weilong; Gao, Xinbo; Tao, Dacheng; Li, Xuelong: Visual saliency detection using information divergence (2013) ioport
  14. Li, Meng; Zhan, Yi; Zhang, Lidan: Nonlocal variational model for saliency detection (2013)
  15. Wang, Peng; Zeng, Gang; Gan, Rui; Wang, Jingdong; Zha, Hongbin: Structure-sensitive superpixels via geodesic distance (2013)
  16. Xue, Jianru; Wang, Le; Zheng, Nanning; Hua, Gang: Automatic salient object extraction with contextual cue and its applications to recognition and alpha matting (2013) ioport
  17. Vikram, Tadmeri Narayan; Tscherepanow, Marko; Wrede, Britta: A saliency map based on sampling an image into random rectangular regions of interest (2012) ioport
  18. Yao, Lei; Suryanarayan, Poonam; Qiao, Mu; Wang, James Z.; Li, Jia: OSCAR: on-site composition and aesthetics feedback through exemplars for photographers (2012) ioport
  19. Huang, Tiejun; Tian, Yonghong; Li, Jia; Yu, Haonan: Salient region detection and segmentation for general object recognition and image understanding (2011) ioport
  20. Luo, Xiaonan; Zhao, Zhongming; Su, Zhuo; Liang, Yun: Multiple-cue saliency measurement and optimized image composition for image retargeting (2011)

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