iccv iccv2013 iccv2013-71 iccv2013-71-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Yangqing Jia, Mei Han
Abstract: It is known that purely low-level saliency cues such as frequency does not lead to a good salient object detection result, requiring high-level knowledge to be adopted for successful discovery of task-independent salient objects. In this paper, we propose an efficient way to combine such high-level saliency priors and low-level appearance models. We obtain the high-level saliency prior with the objectness algorithm to find potential object candidates without the need of category information, and then enforce the consistency among the salient regions using a Gaussian MRF with the weights scaled by diverse density that emphasizes the influence of potential foreground pixels. Our model obtains saliency maps that assign high scores for the whole salient object, and achieves state-of-the-art performance on benchmark datasets covering various foreground statistics.
[1] Radhakrishna Achanta, Francisco Estrada, Patricia Wils, and Sabine S ¨usstrunk. Salient region detection and segmentation. In ICVS, 2008. 6
[2] Radhakrishna Achanta, Sheila Hemami, Francisco Estrada, and Sabine Susstrunk. Frequency-tuned salient region detection. In CVPR, 2009. 2, 5, 6
[3] B. Alexe, T. Deselaers, and V. Ferrari. What is an object? In CVPR, 2010. 1, 2
[4] Shai Avidan and Ariel Shamir. Seam carving for contentaware image resizing. ACM Trans on Graphics, 26(3): 10, 2007. 1
[5] K.Y. Chang, T.L. Liu, H.T. Chen, and S.H. Lai. Fusing generic objectness and visual saliency for salient object detection. In CVPR. IEEE, 2011. 2, 3, 6
[6] Ming-Ming Cheng, Guo-Xin Zhang, Niloy J Mitra, Xiaolei Huang, and Shi-Min Hu. Global contrast based salient region detection. In CVPR, 2011. 1, 2, 6
[7] Ian Endres and Derek Hoiem. Category independent object proposals. In ECCV, 2010. 1
[8] P.F. Felzenszwalb and D.P. Huttenlocher. Efficient graphbased image segmentation. IJCV, 59(2): 167–181, 2004. 2, 3
[9] Stas Goferman, Lihi Zelnik-Manor, and Ayellet Tal. Context-aware saliency detection. TPAMI, 34(10): 1915– 1926, 2012. 6
[10] Jonathan Harel, Christof Koch, and Pietro Perona. Graphbased visual saliency. In NIPS, 2007. 6
[11] Geremy Heitz and Daphne Koller. Learning spatial context: Using stuff to find things. In ECCV, 2008. 1
[12] X. Hou, J. Harel, and C. Koch. Image signature: Highlighting sparse salient regions. TPAMI, 34(1): 194–201, 2012. 1, 2, 6
[13] Laurent Itti, Christof Koch, and Ernst Niebur. A model of saliency-based visual attention for rapid scene analysis. TPAMI, 20(1 1): 1254–1259, 1998. 1, 2, 6
[14] Huaizu Jiang, Jingdong Wang, Zejian Yuan, Yang Wu, Nanning Zheng, and Shipeng Li. Salient object detection: A discriminative regional feature integration approach. In CVPR, 2013. 7
[15] T. Judd, K. Ehinger, F. Durand, and A. Torralba. Learning to predict where humans look. In ICCV, 2009. 1, 2, 6
[16] Gunhee Kim, Eric P Xing, Li Fei-Fei, and Takeo Kanade. Distributed cosegmentation via submodular optimization on anisotropic diffusion. In ICCV, 2011. 2
[17] Dominik A Klein and Simone Frintrop. Center-surround divergence of feature statistics for salient object detection. In ICCV, 2011. 2
[18] Philipp Kr ¨ahenb u¨hl and Vladlen Koltun. Efficient inference in fully connected crfs with gaussian edge potentials. In NIPS, pages 109–1 17, 2011. 2
[19] Alex Levinshtein, Adrian Stere, Kiriakos N Kutulakos, David J Fleet, Sven J Dickinson, and Kaleem Siddiqi. Turbopixels: Fast superpixels using geometric flows. TPAMI, 31(12):2290–2297, 2009. 3
[20] Tie Liu, Jian Sun, Nan-Ning Zheng, Xiaoou Tang, and Heung-Yeung Shum. Learning to detect a salient object. In CVPR, 2007. 2
[21] Yu-Fei Ma and Hong-Jiang Zhang. Contrast-based image attention analysis by using fuzzy growing. In ACM MM, 2003. 6
[22] Oded Maron and Tom a´s Lozano-P e´rez. A framework for multiple-instance learning. In NIPS, 1998. 4
[23] Vidhya Navalpakkam and Laurent Itti. An integrated model of top-down and bottom-up attention for optimizing detection speed. In CVPR, 2006. 1
[24] Federico Perazzi, Philipp Krahenbuhl, Yael Pritch, and Alexander Hornung. Saliency filters: Contrast based filtering for salient region detection. In CVPR, 2012. 6
[25] R. Rahmani and S.A. Goldman. Missl: Multiple-instance semi-supervised learning. In ICML, 2006. 1, 4, 7
[26] Carsten Rother, Vladimir Kolmogorov, and Andrew Blake. Grabcut: Interactive foreground extraction using iterated graph cuts. ACM Trans. Graphics, 23(3):309–3 14, 2004. 2
[27] Ueli Rutishauser, Dirk Walther, Christof Koch, and Pietro Perona. Is bottom-up attention useful for object recognition? In CVPR, 2004. 1
[28] Xiaohui Shen and Ying Wu. A unified approach to salient object detection via low rank matrix recovery. In CVPR, 2012. 1, 2, 5, 6
[29] Roberto Valenti, Nicu Sebe, and Theo Gevers. Image saliency by isocentric curvedness and color. In ICCV, 2009. 2
[30] Yichen Wei, Fang Wen, Wangjiang Zhu, and Jian Sun. Geodesic saliency using background priors. In ECCV, 2012. 6 11776688