Jiang H, Wang J, Yuan Z, et al. Salient object detection: a discriminative regional feature integration approach[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013: 2083-2090.
[2]
Jian M W, Dong J Y, Ma J. Image retrieval using wavelet-based salient regions[J]. Imaging Science Journal, 2011, 59(4): 219-231.
[3]
李勇,陈贺新,耿晓东,等. 基于目标区域定位和特征融合的图像检索算法[J]. 吉林大学学报:工学版, 2008(增刊2):217-220. Li Yong, Chen He-xin, Geng Xiao-dong, et al. Image retrieval algorithm based on object region location and feature fusion[J]. Journal of Jilin University (Engineering and Technology Edition), 2008(Sup.2):217-220.
[4]
Rutishauser U, Walther D, Koch C, et al. Is bottom-up attention useful for object recognition?[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Washington, 2004: 37-44.
[5]
Ko B C, Nam J. Object-of-interest image segmentation based on human attention and semantic region clustering[J]. JOSA A,2006, 23(10): 2462-2470.
[6]
Yang J, Yang M H. Top-down visual saliency via joint crf and dictionary learning[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, 2012: 2296-2303.
[7]
Liu T, Yuan Z, Sun J, et al. Learning to detect a salient object[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(2): 353-367.
[8]
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, 1998, 20(11): 1254-1259.
[9]
Ma Y F, Zhang H J. Contrast-based image attention analysis by using fuzzy growing[C]∥Proceedings of the Eleventh ACM International Conference on Multimedia. ACM, New York, 2003: 374-381.
[10]
Harel J, Koch C, Perona P. Graph-based visual saliency[C]∥Advances in Neural Information Processing System,Vancouver,Canada,2007:545-552.
[11]
Hou X, Zhang L. Saliency detection: A spectral residual approach[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, 2007: 1-8.
[12]
Achanta R, Hemami S, Estrada F, et al. Frequency-tuned salient region detection[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, 2009: 1597-1604.
黄志勇,何发智,蔡贤涛,等.一种随机的视觉显著性检测算法[J].中国科学:信息科学,2011,41(7):863-874. Huang Zhi-yong, He Fa-zhi, Cai Xian-tao, et al. Efficient random saliency map detection[J]. Science China Information Sciences, 2011, 41(7): 863-874.
[15]
郭迎春,袁浩杰,吴鹏. 基于Local特征和Regional特征的图像显著性检测[J].自动化学报,2013,39(8):1214-1224. Guo Ying-Chun, Yuan Hao-Jie, WU Peng. Image saliency detection based on local and regional features[J]. Acta Automation Sinica,2013,39(8):1214-1224.
[16]
Liu Z, Zou W, Li L, et al. Co-Saliency detection based on hierarchical segmentation[J]. IEEE Signal Processing Letters, 2014, 21(1):88-92.
[17]
Fu H, Cao X, Tu Z. Cluster-based co-saliency detection[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 2013, 22(10): 3766-3778.
[18]
Xie Y, Lu H, Yang M. Bayesian saliency via low and mid level cues[J].Transactions on Image Processing, 2013,22(5):1689-1698.
[19]
Cheng M M, Zhang G X, Mitra N J, et al. Global contrast based salient region detection[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, 2011: 409-416.
[20]
Achanta R, Estrada F, Wils P, et al. Salient region detection and segmentation[C]∥6th International Conference on Computer Vision System,Santorini,Greece,2008:66-75.
[21]
Ohashi T, Aghbari Z, Makinouchi A. Hill-climbing algorithm for efficient color-based image segmentation[C]∥IASTED International Conference on Signal Processing, Pattern Recognition, and Applications,Rhodes, 2003: 17-22.
[22]
Li X, Lu H, Zhang L, et al. Saliency detection via dense and sparse reconstruction[C]∥IEEE International Conference on Computer Vision (ICCV), Sydney, 2013:2976-2983.
[23]
Yang C, Zhang L, Lu H, et al. Saliency detection via graph-based manifold ranking[C]∥IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, 2013: 3166-3173.
[24]
Lempitsky V, Kohli P, Rother C, et al. Image segmentation with a bounding box prior[C]∥IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009: 277-284.
[25]
Grady L, Jolly M P, Seitz A. Segmentation from a box[C]∥IEEE International Conference on Computer Vision (ICCV), Barcelona, 2011: 367-374.
[26]
Einhäuser W, König P. Does luminance-contrast contribute to a saliency map for overt visual attention?[J]. European Journal of Neuroscience,2003, 17(5): 1089-1097.
[27]
Judd T, Ehinger K, Durand F, et al. Learning to predict where humans look[C]∥IEEE 12th International Conference on Computer Vision, Kyoto, 2009: 2106-2113.
[28]
李茜. 图像的显著性特征提取[D]. 上海:上海大学通信与信息工程学院,2008. Li Qian. Saliency image feature extraction[D]. Shanghai:School of Communication and Information Engineering, Shanghai University, 2008.
[29]
Achanta R, Susstrunk S. Saliency detection using maximum symmetric surround[C]∥the 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 2010: 2653-2656.
[30]
Zhai Y, Shah M. Visual attention detection in video sequences using spatiotemporal cues[C]∥Proceedings of the 14th Annual ACM International Conference on Multimedia. ACM, New York, 2006: 815-824.
[31]
Boykov Y Y, Jolly M P. Interactive graph cuts for optimal boundary & region segmentation of objects in ND images[C]∥Proceedings of the Eighth IEEE International Conference on Computer Vision, Vancouver, 2001: 105-112.
[32]
Han J, Ngan K N, Li M, et al. Unsupervised extraction of visual attention objects in color images[J]. IEEE Transactions on Circuits and Systems for Video Technology,2006, 16(1): 141-145.
[33]
Rother C, Kolmogorov V, Blake A. Grabcut: interactive foreground extraction using iterated graph cuts[C]∥ACM Transactions on Graphics (TOG),ACM, New York, 2004:309-314.
