1. F. Ghorbani, H. Ebadi,A. Sedaghat, “Geospatial Target Detection from High-Resolution Remote-Sensing Images based on PIIFD Descriptor and Salient Regions,”Journal of the Indian Society of Remote Sensing, No. 1, pp. 1-13, 2019 2. R. Škoviera, I. Bajla,J. Škovierová, “Object Recognition in Clutter Color Images using Hierarchical Temporal Memory Combined with Salient-Region Detection,”Neurocomputing, Vol. 307, 2018 3. Y. Guo, C. Luo,Y. Ma, “Object Detection System based on Multimodel Saliency Maps,” Journal of Electronic Imaging, Vol. 26, No. 2, 2017 4. O. Havlíček, H. J. Müller,A. Wykowska, “Distract Yourself: Prediction of Salient Distractors by Own Actions and External Cues,” Psychological Research, Vol. 83, No. 1, pp. 159-174, 2019 5. T. Li, L. Sun, H. Chong, et al., “Salient Region-based Least-Squares Log-Density Gradient Clustering for Image-to-Video Person Re-Identification,” IEEE Access, Vol. 83, No. 1, pp. 8638-8648, 2018 6. S. Yi and W. Liu, “Multiscale Salient Region-based Visual Tracking,”Machine Vision and Applications, pp. 1-13, 2017 7. R. M. Haralick, K. Shanmugam,I. Dinstein, “Textural Features for Image Classification,” IEEE Transctions on Systems Man and Cybernetics, Vol. 3, No. 6, pp. 610-621, 1973 8. A. M.Treisman and G. Gelade, “A Feature Integration Theory of Attention,” Cognitive Psychology, Vol. 12, No. 1, pp. 97-136, 1979 9. X. Hou and L. Zhang, “Saliency Detection: A Spectral Residual Approach,”Computer Vision and Pattern Recognition, pp. 1-8, 2007 10. R. Peters and L. Itti, “The Role of Fourier Phase Information in Predicting Saliency,” Journal of Vision, Vol. 8, No. 6, pp. 879-879, 2008 11. L. Zhang, M. H. Tong, T. K. Marks, H. Shan,G. W. Cottrell, “Sun: A Bayesian Framework for Saliency using Natural Statistics,” Journal of Vision, Vol. 8, No. 7, pp. 1-20, 2008 12. X. Huang, C. Shen, X. Boix,Q. Zhao, “SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks,” inProceedings of IEEE International Conference on Computer Vision, pp. 262-270, 2015 13. M. Startsev and M. Dorr, “Supersaliency: Predicting Smooth Pursuit-based Attention with Slicing CNNs Improves Fixation Prediction for Naturalistic Videos,” inProceedings of International Conference on Computer Vision and Pattern Recognition, pp. 2082-2085, 2018 14. B. Schölkopf, J. Platt,T. Hofmann, “Graph-based Visual Saliency,”Advances in Neural Information Processing Systems, Vol. 19, pp. 545-552, 2007 15. S. Goferman, L. Zelnikmanor,A. Tal, “Context-Aware Saliency Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 10, pp. 1915-1926, 2012 16. P. L. Rosin, “A Simple Method for Detecting Salient Regions,” Pattern Recognition, Vol. 42, No. 11, pp. 2363-2371, 2009 17. R. Valenti, N. Sebe,T. Gevers, “Image Saliency by Isocentric Curvedness and Color,” inProceedings of International Conference on Computer Vision, Vol. 30, pp. 2185-2192, 2009 18. Y. Hu, D. Rajan,L. T. Chia, “Robust Subspace Analysis for Detecting Visual Attention Regions in Images,” inProceedings of ACM International Conference on Multimedia, pp. 716-724, 2005 19. R. Vidal, Y. Ma,S. Sastry, “Generalized Principal Components Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 12, pp. 1945 - 1959, 2002 20. G. Li and Y. Yu, “Visual Saliency based on Multiscale Deep Features,” inProceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 5455-5463, 2015 21. G. Li and Y. Yu, “Deep Contrast Learning for Salient Object Detection,” inProceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-10, 2017 22. B. Scassellati, “Theory of Mind for a Humanoid Robot,” Autonomous Robots, Vol. 12, No. 1, pp. 13-24, 2002 23. Y. F.Ma and H. J.Zhang, “A Model of Motion Attention for Video Skimming,” in Proceedings of International Conference on Image Processing, Vol. 1, pp. I-129-I-132, 2002 24. S. Marat, T. H. Phuoc, L. Granjon,N. Guyader, “Spatio-Temporal Saliency Model to Predict Eye Movements in Video Free Viewing,” inProceedings of Signal Processing Conference, pp. 1-5, 2008 25. S. Marat, T. H. Phuoc, L. Granjon, N. Guyader, D. Pellerin,A. Guérin-Dugué, “Modelling Spatio-Temporal Saliency to Predict Gaze Direction for Short Videos,” International Journal of Computer Vision, Vol. 82, No. 3, pp. 231, 2009 26. Y. Tong, F. A. Cheikh, F. F. E.Guraya, H. Konik, and A. Trémeau, “A Spatiotemporal Saliency Model for Video Surveillance,” Cognitive Computation, Vol. 3, No. 1, pp. 241-263, 2011 27. M. Shokri, A. Harati,K. Taba, “Salient Object Detection in Video using Deep Non-Local Neural Networks,” arXiv:1810.07097, 2018 28. P. Arbelaez, J. Pont-Tuset, J. Barron, F. Marques,J. Malik, “Multiscale Combinatorial Grouping,” inProceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 328-335, 2014 29. J. Carreira and C. Sminchisescu, “Cpmc: Automatic Object Segmentation using Constrained Parametric Min-Cuts,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 7, pp. 1312, 2011 30. H. Jing, X. He, Q. Han, A. A. A.El-Latif, and X. Niu, “Saliency Detection based on Integrated Features,” Neurocomputing, Vol. 129, No. 4, pp. 114-121, 2014 31. X. Zhou, C. Yang,W. Yu, “Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 3, pp. 597-610, 2013 32. F. Li, T. Kim, A. Humayun, D. Tsai,J. M. Rehg, “Video Segmentation by Tracking Many Figure-Ground Segments,” inProceedings of IEEE International Conference on Computer Vision, Vol. 91, pp. 2192-2199, 2014 33. K. Fukuchi, K. Miyazato, A. Kimura, S. Takagi,J. Yamato, “Saliency-based Video Segmentation with Graph Cuts and Sequentially Updated Priors,” inProceedings of IEEE International Conference on Multimedia and Expo, Vol. 93, pp. 638-641, 2009 34. W. Wang, J. Shen,F. Porikli, “Saliency-Aware Geodesic Video Object Segmentation,”Computer Vision and Pattern Recognition, pp. 3395-3402, 2015 35. H. Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng,S. Li, “Automatic Salient Object Segmentation based on Context and Shape Prior,” inProceedings of British Machine Vision Conference, pp. 1-12, 2011 36. M. Mancas, N. Riche, J. Leroy,B. Gosselin, “Abnormal Motion Selection in Crowds using Bottom-up Saliency,” inProceedings of IEEE International Conference on Image Processing, Vol. 6626, pp. 229-232, 2011 37. S. Goferman, L. Zelnikmanor,A. Tal, “Context-Aware Saliency Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 10, pp. 1915-1926, 2012 38. H. Fu, X. Cao,Z. Tu, “Cluster-based Co-Saliency Detection,” IEEE Transactions on Image Processing, Vol. 22, No. 10, pp. 3766-3778, 2013 39. H. J.Seo and P. Milanfar, “Static and Space-Time Visual Saliency Detection by Self-Resemblance,” Journal of Vision, Vol. 9, No. 12, pp. 15.1-27, 2009 40. F. Li, T. Kim, A. Humayun, et al., “Video Segmentation by Tracking Many Figure-Ground Segments,” inProceedings of IEEE International Conference on Computer Vision, pp. 1-8, 2013 41. B. Zhou, X. Hou,L. Zhang, “A Phase Discrepancy Analysis of Object Motion,” inProceedings of Asian Conference on Computer Vision, Vol. 6494, pp. 225-238, 2010 42. E. Rahtu, J. Kannala, M. Salo,J. Heikkilä, “Segmenting Salient Objects from Images and Videos,” inProceedings of European Conference on Computer Vision, Vol. 6315, pp. 366-379, 2018 |