Open Access
Issue
JNWPU
Volume 36, Number 2, April 2018
Page(s) 359 - 367
DOI https://doi.org/10.1051/jnwpu/20183620359
Published online 03 July 2018
  1. Itti L, Koch C. A Saliency-Based Search Mechanism for Overt and Covert Shifts of Visual Attention[J]. Vision Research, 2000, 40 12: 1489- 1506 [Article] [CrossRef] [Google Scholar]
  2. Garcia-Diaz A, Fdez-Vidal X R, Pardo X M, et al. Decorrelation and Distinctiveness Provide with Human-Like Saliency[C]//International Conference on Advanced Concepts for Intelligent Vision Systems Springer, Berlin, Heidelberg, 2009, 5807: 343-354 [Google Scholar]
  3. Zhang L, Tong M H, Marks T K, et al. Sun:A Bayesian Framework for Saliency Using Natural Statistics[J]. Journal of Vision, 2008, 8 7: 1- 20 [Article] [Google Scholar]
  4. Torralba A. Modeling Global Scene Factors in Attention[J]. Journal of The Optical Society of America A, 2003, 20 7: 1407- 1418 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  5. Schölkopf B, Platt J, Hofmann T. Graph-Based Visual Saliency[J]. Advances in Neural Information Processing Systems, 2007, 19: 545- 552 [Article] [Google Scholar]
  6. Schölkopf B, Platt J, Hofmann T. A Nonparametric Approach to Bottom-Up Visual Saliency[C]//International Conference on Neural Information Processing Systems, 2006: 689-696 [Google Scholar]
  7. Judd T, Ehinger K, Durand F, et al. Learning to Predict Where Humans Look[C]//IEEE International Conference on Computer Vision, 2010: 2106-2113 [Google Scholar]
  8. Swain M J, Ballard D H. Indexing via Color Histograms[C]//International Conference on Computer Vision, 1990: 390-393 [Google Scholar]
  9. Schiele B, Crowley J L. Recognition Without Correspondence Using Multidimensional Receptive Field Histograms[J]. International Journal of Computer Vision, 2000, 36 1: 31- 50 [Article] [CrossRef] [Google Scholar]
  10. Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60 2: 91- 110 [Article] [CrossRef] [Google Scholar]
  11. Lindeberg T. Scale Invariant Feature Transform[M]. Scholarpedia, 2012: 2012-2021 [Google Scholar]
  12. Mohan R, Nevatia R. Perceptual Organization for Scene Segmentation and Description[J]. IEEE Trans on Pattern Analysis & Machine Intelligence, 1992, 14 6: 616- 635 [Article] [CrossRef] [Google Scholar]
  13. Lillywhite K, Lee D J, Tippetts B, et al. A Feature Construction Method for General Object Recognition[J]. Pattern Recognition, 2013, 46 12: 3300- 3314 [Article] [CrossRef] [Google Scholar]
  14. Hubel D H, Wiesel T N. Receptive Fields and Functional Architecture of Monkey Striate Cortex[J]. Journal of Physiology, 1968, 195 1: 215- 243 [Article] [CrossRef] [Google Scholar]
  15. Krizhevsky A, Sutskever I, Hinton G E. Imagenet Classification with Deep Convolutional Neural Networks[C]//International Conference on Neural Information Processing Systems, 2012: 1097-1105 [Google Scholar]
  16. Bruce N D B, Tsotsos J K. Saliency Based on Information Maximization[C]//International Conference on Neural Information Processing Systems, 2005: 155-162 [Google Scholar]
  17. Garcia-Diaz A, Fdez-Vidal X R, Pardo X M, et al. Decorrelation and Distinctiveness Provide with Human-Like Saliency[C]//International Conference on Advanced Concepts for Intelligent Vision Systems, 2009: 343-354 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.