参考文献
[1]DONOSER M,URSCHLER M,HIRZER M,et al.Saliency Driven Total Variation Segmentation[C]//Proceedings of the 12th IEEE International Conference on Computer Vision.Washington D.C.,USA:IEEE Press,2009:817-824.
[2]GUO Chenlei,ZHANG Liming.A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression[J].IEEE Transactions on Image Processing,2010,19(1):185-198.
[3]SHEN Hao,LI Shuxiao,ZHU Chengfei,et al.Moving Object Detection in Aerial Video Based on Spatiotemporal Saliency[J].Chinese Journal of Aeronautics(English Edition),2013,26(5):1211-1217.
[4]REN Zhixiang,GAO Shenghua,CHIA L T,et al.Region-based Saliency Detection and Its Application in Object Recognition[J].IEEE Transactions on Circuits & Systems for Video Technology,2014,24(5):769-779.
[5]李正周,李文艳,谭菊,等.基于空时显著性感知的运动目标检测方法[J].计算机应用研究,2010,27(6):2391-2393.
[6]LIU H,HEYNDERICKX I.Studying the Added Value of Visual Attention in Objective Image Quality Metrics Based on Eye Movement Data[C]//Proceedings of IEEE International Conference on Image Processing.Washington D.C.,USA:IEEE Press,2009:3097-3100.
[7]冯欣.基于视觉显著性的网络丢包图像和视频的客观质量评估方法研究[D].重庆:重庆大学,2011.
[8]ITTI L,KOCH C,NIEBUR E.A Model of Saliency-based Visual Attention for Rapid Scene Analysis[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,1998,20(11):1254-1259.
[9]TREISMAN A M,GELADE G.A Feature-integration Theory of Attention[J].Cognitive Psychology,1980,12(1):97-136.
[10]KOCH C,ULLMAN S.Shifts in Selective Visual Attention:Towards the Underlying Neural Circuitry[J].Human Neurobiology,1985,4(4):219-227.
[11]ZHAI Yun,SHAH M.Visual Attention Detection in Video Sequences Using Spatiotemporal Cues[C]//Proceedings of ACM International Conference on Multimedia.New York,USA:ACM Press,2006:478-482.
[12]LANG Congyan,NGUYEN T V,KATTI H,et al.Depth Matters:Influence of Depth Cues on Visual Saliency[C]//Proceedings of the 12th European Conference on Computer Vision.Berlin,Germany:Springer,2012:101-115.
[13]曾志宏,李建洋,郑汉垣.融合深度信息的视觉注意计算模型[J].计算机工程,2010,36(20):200-202.
[14]WANG Junle,DASILVA M P,LECALLET P,et al.Computational Model of Stereoscopic 3D Visual Saliency[J].IEEE Transactions on Image Processing,2013,22(6):2151-2165.
[15]MENZE M,GEIGER A.Object Scene Flow for Autonomous Vehicles[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:3061-3070.
[16]WANG Zhihu,XIONG Jiulong,ZHANG Qi.Motion Saliency Detection Based on Temporal Difference[J].Journal of Electronic Imaging,2015,24(3).
[17]万盼盼,张轶.一种改进的基于背景差分的运动目标检测方法[J].计算机技术与发展,2015,25(2):38-41.
[18]GAO Shanshan,CHI Jing,LI Li,et al.Saliency Detection Based on Superpixels Clustering and Stereo Disparity[J].Applied Mathematics Journal of Chinese Universities,2016,31(1):68-80.
[19]WANG Junle,FANG Yuming,NARWARIA M,et al.Stereoscopic Image Retargeting Based on 3D Saliency Detection[C]//Proceedings of IEEE International Conference on Acoustics,Speech and Signal Processing.Washington D.C.,USA:IEEE Press,2014:669-673.
[20]JIANG Lixing,KOCH A,ZELL A.Salient Regions Detection for Indoor Robots Using RGB-D Data[C]// Proceedings of IEEE International Conference on Robotics and Automation.Washington D.C.,USA:IEEE Press,2015:1323-1328.
[21]JIANG Qiuping,SHAO Feng,JIANG Gangyi,et al.A Depth Perception and Visual Comfort Guided Computational Model for Stereoscopic 3D Visual Saliency[J].Signal Processing Image Communication,2015,38(3):57-69.
[22]CHENG Mingming,MITRA N J,HUANG Xiaolei,et al.Global Contrast Based Salient Region Detection[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2011,37(3):409-416.
[23]YAN Qiong,XU Li,SHI Jianping,et al.Hierarchical Saliency Detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:1155-1162.
[24]BORJI A.What Is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection[J].IEEE Transactions on Image Processing,2014,24(2):742-756.
[25]YANG Chuan,ZHANG Lihe,LU Huchuan,et al.Saliency Detection via Graph-based Manifold Ranking[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3166-3173.
[26]HUANG Xun,SHEN Chengyao,BOIX X,et al.SALICON:Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks[C]//Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2015:262-270.
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