Multimodal Failure Matching Point Based Motion Object Saliency Detection for Unconstrained Videos

References

• Achanta, R., S. S. Hemami, F. J. Estrada, and S. Süsstrunk. 2009. Frequency-tuned salient region detection. CVPR. doi:10.1109/CVPR.2009.5206596.
   Google Scholar
• Alcantarilla, P. F., J. Nuevo, and A. Bartoli. 2013. Fast explicit diffusion for accelerated features in nonlinear scale spaces. Bmvc. doi:10.5244/C.27.13.
   Google Scholar
• Chen, P., J. Lai, G. Wang, and H. Zhou. 2021. Confidence-guided adaptive gate and dual differential enhancement for video salient object detection. 2021 IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 1–3021.
   Google Scholar
• Cheng, M., N. J. Mitra, X. Huang, P. H. Torr, and S. Hu. 2014. Global contrast based salient region detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 37(3):569–82. doi:10.1109/TPAMI.2014.2345401.
   Web of Science ®Google Scholar
• Guo, C., and L. Zhang. 2010. A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression. IEEE Transactions on Image Processing 19:185–98. doi:10.1109/TIP.2009.2030969.
   PubMed Web of Science ®Google Scholar
• Hou, X., and L. Zhang. 2007. Saliency detection: a spectral residual approach. 2007 IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, USA, 1–8. doi:10.1109/CVPR.2007.383267.
   Google Scholar
• Jian, M., Q. Qi, H. Yu, J. Dong, C. Cui, X. Nie, H. Zhang, Y. Yin, and K. Lam. 2019. The extended marine underwater environment database and baseline evaluations. Applied Soft Computing 80:425–37. doi:10.1016/j.asoc.2019.04.025.
   Web of Science ®Google Scholar
• Jian, M., R. Wang, H. Xu, H. Yu, J. Dong, G. Li, Y. Yin, and K. Lam. 2022. Robust seed selection of foreground and background priors based on directional blocks for saliency-detection system. Multimedia Tools and Applications, , 1-25.
   Google Scholar
• Jian, M., J. Wang, H. Yu, and G. Wang. 2021a. Integrating object proposal with attention networks for video saliency detection. Information Sciences 576:819–30. doi:10.1016/j.ins.2021.08.069.
   Web of Science ®Google Scholar
• Jian, M., J. Wang, H. Yu, G. Wang, X. Meng, L. Yang, J. Dong, and Y. Yin. 2021b. Visual saliency detection by integrating spatial position prior of object with background cues. Expert Systems with Applications 168:114219. doi:10.1016/j.eswa.2020.114219.
   Web of Science ®Google Scholar
• Li, F., T. Kim, A. Humayun, D. Tsai, and J. M. Rehg. 2013. Video segmentation by tracking many figure-ground segments. 2013 IEEE International Conference on Computer Vision, Sydney, Australia, 2192–99.
   Google Scholar
• Lin, X., Z. Wang, L. Ma, and X. Wu. 2019. Saliency detection via multi-scale global cues. IEEE Transactions on Multimedia 21:1646–59. doi:10.1109/TMM.2018.2884474.
   Web of Science ®Google Scholar
• Liu, T., Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H. Shum. 2007. Learning to detect a salient object. IEEE Transactions on Pattern Analysis and Machine Intelligence 33:353–67. doi:10.1109/TPAMI.2010.70.
   Google Scholar
• Lowe, D. G. 1999. Object recognition from local scale-invariant features. nternational Conference on Computer Vision, 1150, Kerkyra, Greece. Ieee. doi:10.1109/ICCV.1999.790410.
   Google Scholar
• Luo, Y., J. Yuan, P. Xue, and Q. Tian. 2011. IEEE transactions on circuits and systems for video technology. Saliency Density Maximization for Efficient Visual Objects Discovery 21:1822–34. doi:10.1109/TCSVT.2011.2147230.
   Google Scholar
• Parkhurst, D. J., K. Law, and E. Niebur. 2002. Modeling the role of salience in the allocation of overt visual attention. Vision Research 42:107–23. doi:10.1016/S0042-6989(01)00250-4.
   PubMed Web of Science ®Google Scholar
• Perazzi, F., P. Krähenbühl, Y. Pritch, and A. Sorkine-Hornung (2012). Saliency filters: Contrast based filtering for salient region detection. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, 733–40. doi:10.1109/CVPR.2012.6247743.
   Google Scholar
• Pont-Tuset, J., F. Perazzi, S. Caelles, P. Arbeláez, A. Sorkine-Hornung, and L. V. Gool. (2017). The 2017 DAVIS challenge on video object segmentation. arXiv preprint arXiv:1704.00675 .
   Google Scholar
• Qian, J., X. Luo, and Y. Xue. 2021. Half-edge composite structure: Good performance in motion matching. Journal of Ambient Intelligence and Humanized Computing 1-16. doi:10.1007/s12652-021-03073-4.
   Google Scholar
• Ramanathan, S., H. Katti, N. Sebe, M. Kankanhalli, and T. Chua. 2010. An eye fixation database for saliency detection in images. ECCV. doi:10.1007/978-3-642-15561-1_3.
   Google Scholar
• Rublee, E., V. Rabaud, K. Konolige, and G. Bradski (2011). ORB: An efficient alternative to SIFT or SURF. International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011. IEEE. . doi:10.1109/ICCV.2011.6126544.
   Google Scholar
• Shi, R., Z. Liu, H. Du, X. Zhang, and L. Shen. 2012. Region diversity maximization for salient object detection. IEEE Signal Processing Letters 19:215–18. doi:10.1109/LSP.2012.2188388.
   Web of Science ®Google Scholar
• Wang, W., J. Shen, R. Yang, and F. M. Porikli. 2018. Saliency-aware video object segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 40:20–33. doi:10.1109/TPAMI.2017.2662005.
   PubMed Web of Science ®Google Scholar
• Wei, Y., F. Wen, W. Zhu, and J. Sun. 2012. Geodesic saliency using background priors. ECCV. doi:10.1007/978-3-642-33712-3_3.
   Google Scholar
• Yang, J., and M. Yang. 2012. Top-down visual saliency via joint CRF and dictionary learning. CVPR. doi:10.1109/CVPR.2012.6247940.
   Google Scholar
• Yang, C., L. Zhang, H. Lu, X. Ruan, and M. Yang. 2013. Saliency detection via graph-based manifold ranking. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 3166-3173, Portland, OR, USA. doi:10.1109/CVPR.2013.407.
   Google Scholar
• Zhu, W., S. Liang, Y. Wei, and J. Sun. 2014. Saliency optimization from robust background detection. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2814-2821, Columbus, OH, USA. doi:10.1109/CVPR.2014.360.
   Google Scholar