Towards Good Practices for Action Video Encoding
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Jianxin Wu | Yu Zhang | Weiyao Lin | Jianxin Wu | Weiyao Lin | Yu Zhang
[1] Beat Kleiner,et al. Graphical Methods for Data Analysis , 1983 .
[2] Cordelia Schmid,et al. Action and Event Recognition with Fisher Vectors on a Compact Feature Set , 2013, 2013 IEEE International Conference on Computer Vision.
[3] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[4] Patrick Pérez,et al. Revisiting the VLAD image representation , 2013, ACM Multimedia.
[5] Limin Wang,et al. A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition , 2012, ACCV.
[6] Andrew Zisserman,et al. Three things everyone should know to improve object retrieval , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[8] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[9] John M. Chambers,et al. Graphical Methods for Data Analysis , 1983 .
[10] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[11] Ramakant Nevatia,et al. Large-scale web video event classification by use of Fisher Vectors , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[12] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[13] David Elliott,et al. In the Wild , 2010 .
[14] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[15] Jianxin Wu,et al. Power mean SVM for large scale visual classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Patrick Bouthemy,et al. Better Exploiting Motion for Better Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] Cordelia Schmid,et al. Aggregating Local Image Descriptors into Compact Codes , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Ran He,et al. Principal component analysis based on non-parametric maximum entropy , 2010, Neurocomputing.
[20] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[21] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[22] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Philip H. S. Torr,et al. Learning Discriminative Space–Time Action Parts from Weakly Labelled Videos , 2013, International Journal of Computer Vision.
[24] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Florent Perronnin,et al. Large-scale image retrieval with compressed Fisher vectors , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Luc Van Gool,et al. Action snippets: How many frames does human action recognition require? , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[28] Jason J. Corso,et al. Action bank: A high-level representation of activity in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.