[1] HAN J, NGAN K N, LI M, et al. Unsupervised extraction of visual attention objects in color images[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2006, 16(1):141-145. [2] KO B C, NAM J Y. Object-of-interest image segmentation based on human attention and semantic region clustering[J]. Journal of the Optical Society of America A, Optics, Image Science, and Vision, 2006, 23(10):2462-2470. [3] RUTISHAUSER U, WALTHER D, KOCH C, et al. Is bottom-up attention useful for object recognition?[C]//Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2004:37-44. [4] CHEN T, CHENG M M, TAN P, et al. Sketch2Photo:Internet image montage[J]. ACM Transactions on Graphics, 2009, 28(5):Article No. 124. [5] CHRISTOPOULOS C, SKODRAS A, EBRAHIMI T. The JPEG2000 still image coding system:an overview[J]. IEEE Transactions on Consumer Electronics, 2000, 46(4):1103-1127. [6] ZHANG G, CHENG M, HU S, et al. A shape-preserving approach to image resizing[J]. Computer Graphics Forum, 2009, 28(7):1897-1906. [7] HOU X, ZHANG L. Saliency detection:a spectral residual approach[C]//Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2007:18-23. [8] JIANG H, WANG J, YUAN Z, et al. Automatic salient object segmentation based on context and shape prior[EB/OL].[2016-12-21]. http://www.bmva.org/bmvc/2011/proceedings/paper110/paper110.pdf. [9] KLEIN D A, FRINTROP S. Center-surround divergence of feature statistics for salient object detection[C]//Proceedings of the 2011 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE, 2011:2214-2219. [10] TONG N, LU H, ZHANG Y, et al. Salient object detection via global and local cues[J]. Pattern Recognition, 2015, 48(10):3258-3267. [11] MARCHESOTTI L, CIFARELLI C, CSURKA G. A framework for visual saliency detection with applications to image thumbnailing[C]//Proceedings of the 2009 IEEE 12th International Conference on Computer Vision. Piscataway, NJ:IEEE, 2009:2232-2239. [12] NG A Y, JORDAN M I, WEISS Y. On spectral clustering:analysis and an algorithm[EB/OL].[2017-01-12]. http://www.csie.ntu.edu.tw/~mhyang/course/u0030/papers/Ng%20Weiss%20Jordan%20Spectral%20Clustering.pdf. [13] 桑农,李正龙,张天序.人类视觉注意机制在目标检测中的应用[J].红外与激光工程,2004,33(1):38-42.(SANG N, LI Z L, ZHANG T X. Application of human visual attention mechanisms in object detection[J]. Infrared and Laser Engineering, 2004, 33(1):38-42.) [14] TONG N, LU H, XIANG R, et al. Salient object detection via bootstrap learning[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2015:1884-1892. [15] CHENG M M, ZHANG G X, MITRA N J, et al. Global contrast based salient region detection[C]//Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2011:409-416. [16] CHENG M M, WARRELL J, LIN W Y, et al. Efficient salient region detection with soft image abstraction[C]//Proceedings of the 2013 IEEE International Conference on Computer Vision. Piscataway, NJ:IEEE, 2013:1529-1536. [17] FENG J. Salient object detection for searched web images via global saliency[C]//Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2012:3194-3201. [18] HE K, SUN J, TANG X. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12):2341-2353. [19] QIN Y, LU H, XU Y, et al. Saliency detection via cellular automata[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2015:110-119. [20] WEI Y, WEN F, ZHU W, et al. Geodesic saliency using background priors[C]//European Conference on Computer Vision, LNCS 7574. Berlin:Springer, 2012:29-42. [21] SUN J, LU H, LI S. Saliency detection based on integration of boundary and soft-segmentation[C]//Proceedings of the 201219th IEEE International Conference on Image Processing. Piscataway, NJ:IEEE, 2012:1085-1088. [22] JIANG H, WANG J, YUAN Z, et al. Salient object detection:a discriminative regional feature integration approach[C]//Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2013:2083-2090. [23] ZHU W, LIANG S, WEI Y, et al. Saliency optimization from robust background detection[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2014:2814-2821. [24] YANG F, LU H, CHEN Y W. Human tracking by multiple kernel boosting with locality affinity constraints[C]//Proceedings of the 201010th Asian Conference on Computer Vision. Berlin:Springer. 2010:39-50. [25] 汪成,陈文兵.基于SLIC超像素分割显著区域检测方法的研究[J].南京邮电大学学报(自然科学版),2016,36(1):89-93.(WANG C, CHEN W B, et al. Salient region detection method based on SLIC superpixel segmentation[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2016, 36(1):89-93.) [26] WOLFRAM S. Statistical mechanics of cellular automata[J]. Reviews of Modern Physics, 1983, 55(3):601-644. [27] YILDIRIM G, SÜSSTRUNK S. FASA:fast, accurate, and size-aware salient object detection[C]//Asian Conference on Computer Vision, LNCS 9005. Berlin:Springer, 2014:514-528. [28] BACH F R, LANCKRIET G R G, JORDAN M I. Multiple kernel learning, conic duality, and the SMO algorithm[C]//Proceedings of the 21st International Conference on Machine Learning. New York:ACM, 2004:6. [29] BOYKOV Y, KOLMOGOROV V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision[C]//Proceedings of the 3rd International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition. London:Springer, 2001:359-374. [30] ACHANTA R, HEMAMI S, ESTRADA F, et al. Frequency-tuned salient region detection[C]//Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2009:1597-1604. [31] ZHAI Y, SHAH M. Visual attention detection in video sequences using spatiotemporal cues[C]//Proceedings of the 14th ACM International Conference on Multimedia. New York:ACM, 2006:815-824. [32] HOU X, ZHANG L. Saliency detection:a spectral residual approach[C]//Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2007:1-8. |