Opto-Electronic Engineering, Volume. 38, Issue 9, 142(2011)
Bayesian Framework for Visual Attention Model Based on Transition-sliding Window
[1] [1] Itti L,Koch C,Niebur E. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),1998,20(11): 1254-1259.
[2] [2] Itti L,Koch C. Feature combination strategies for saliency based visual attention systems [J]. Journal of Electronic imaging(S0277-786X),200l,10(1): 161-169.
[3] [3] LI Qian,WANG Shuo-zhong,ZHANG Xin-peng. Hierarchical identification of visually salient image regions [C]// International Conference on Audio,Language and Image Processing,Shanghai,China,July 7-9,2008: 1708-1712.
[5] [5] Achanta R,Süsstrunk S. Saliency Detection using Maximum Symmetric Surround [C]//Proceedings of IEEE International Conference on Image Processing,Hong Kong,China,Sept 26-29,2010: 2653-2656.
[6] [6] ZHANG Qiao-rong,LIU Hai-bo,SHEN Jing,et al. An improved computational approach for salient region detection[J]. Journal of Computers(S1796-203X),2010,5(7): 1011-1018.
[7] [7] HOU Xiao-di,ZHANG Li-qing. Saliency Detection: A Spectral Residual Approach[C]//IEEE Conference on Computer Vision and Pattern Recognition,2007: 1-8.
[9] [9] GUO Chen-lei,ZHANG Li-ming. A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression [J]. IEEE Transactions on Image Processing(S1057-7149),2010,19(1): 185-198.
[10] [10] Borji Ali,Ahmadabadi Majid Nili,Araabi Babak Nadjar,et al. Online learning of task-driven object-based visual attention control [J]. Image and Vision Computing(S0262-8856),2010,28(7): 1130-1145.
[11] [11] GAO Da-shan,HAN Sunhyoung,Vasconcelos N. Discriminant saliency,the detection of suspicious coincidences,and applications to visual recognition [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence(S0162-8828),2009, 31(6): 989-1005.
[12] [12] WEI Long-sheng,SANG Nong,WANG Yue-huan. A biologically inspired object-based visual attention model [J]. Artificial Intelligence Review(S0269-2821),2010,34(2): 109-119.
[13] [13] Seungjin Lee,Kwanho Kim,Joo-Young Kim,et al. Familiarity based unified visual attention model for fast and robust object recognition [J]. Pattern Recognition(S0031-3203),2010,43(3): 1116-1128.
[14] [14] Gopalakrishnan V,Hu Yi-qun,Rajan D. Salient Region Detection by Modeling Distributions of Color and Orientation [J]. IEEE Transactions On Multimedia(S1520-9210),2009,11(5): 892-905.
[15] [15] ZHANG Ling-yun,Tim K Marks,SHAN Hong-hao,et al. SUN: A Bayesian Framework for Saliency Using Natural Statistics [J]. Journal of Vision(S1534-7362),2008,8(7): 32.
[16] [16] Gopalakrishnan V,HU Yi-qun,Rajan D. Random walks on graphs for salient object detection in images [J]. IEEE Transactions on Image Processing(S1057-7149),2010,19(12): 3232-3242.
[17] [17] Esa Rahtu,Janne Heikkil.. A Simple and Ef.cient Saliency Detector for Background Subtraction [C]//IEEE 12th International Conference on Computer Vision Workshops,Kyoto,Japan,Sept 27-Oct 4,2009: 1137-1144.
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HU Zheng-ping, PANG Jing-chao. Bayesian Framework for Visual Attention Model Based on Transition-sliding Window[J]. Opto-Electronic Engineering, 2011, 38(9): 142
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Received: Mar. 25, 2011
Accepted: --
Published Online: Sep. 27, 2011
The Author Email: Zheng-ping HU (hzp@ysu.edu.cn)