A free database of eye movements watching “Hollywood” videoclips
暂无分享,去创建一个
[1] Y. Miyake,et al. S-cone pathway sensitivity in diabetes measured with threshold versus intensity curves on flashed backgrounds. , 1996, Investigative ophthalmology & visual science.
[2] 장윤희,et al. Y. , 2003, Industrial and Labor Relations Terms.
[3] Laurent Itti,et al. Automatic foveation for video compression using a neurobiological model of visual attention , 2004, IEEE Transactions on Image Processing.
[4] Laurent Itti,et al. The role of memory in guiding attention during natural vision. , 2006, Journal of vision.
[5] Wei Chen,et al. Region-of-Interest intra prediction for H.264/AVC error resilience , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[6] John M. Henderson,et al. Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion , 2011, Cognitive Computation.
[7] Thomas Martinetz,et al. Variability of eye movements when viewing dynamic natural scenes. , 2010, Journal of vision.
[8] Patrick Le Callet,et al. Linking distortion perception and visual saliency in H.264/AVC coded video containing packet loss , 2010, Visual Communications and Image Processing.
[9] Laurent Itti,et al. Visual attention guided bit allocation in video compression , 2011, Image Vis. Comput..
[10] Nicolas Riche,et al. Dynamic Saliency Models and Human Attention: A Comparative Study on Videos , 2012, ACCV.
[11] Ivan V. Bajic,et al. Eye-Tracking Database for a Set of Standard Video Sequences , 2012, IEEE Transactions on Image Processing.
[12] Judith Redi,et al. Examining the effect of task on viewing behavior in videos using saliency maps , 2012, Electronic Imaging.
[13] A. Coutrot,et al. How saliency, faces, and sound influence gaze in dynamic social scenes. , 2014, Journal of vision.
[14] Dmitriy Vatolin,et al. Semiautomatic visual-attention modeling and its application to video compression , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[15] Junle Wang,et al. An eye tracking database for stereoscopic video , 2014, 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX).
[16] Cristian Sminchisescu,et al. Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Patrick Le Callet,et al. A new HD and UHD video eye tracking dataset , 2016, MMSys.
[18] Qianli Xu,et al. Eye-2-I: Eye-tracking for just-in-time implicit user profiling , 2017, 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).
[19] Gang Luo,et al. Dynamic gaze-position prediction of saccadic eye movements using a Taylor series , 2017, Journal of vision.
[20] Francisco M. Costela,et al. When Watching Video, Many Saccades Are Curved and Deviate From a Velocity Profile Model , 2019, Front. Neurosci..
[21] P. Alam. ‘Z’ , 2021, Composites Engineering: An A–Z Guide.