Advanced Analytics and Visualization for Sports
Advanced Analytics and Visualization for Sports

This project falls into three categories: 1) the use of machine learning and other advanced analytical techniques to discover new information  related to on-field performance,  and 2) the development  and application  of novel techniques that provide new ways of viewing sporting events, and 3) providing a system for content-adaptive video retargeting.

Principal Investigators
John Guttag, CSAIL
Fredo Durand, CSAIL
Wojciech Matusik, CSAIL
Mohamed Hefeeda, QCRI

Publications
"Riesz pyramid for fast phase-based video magnification," N. Wadhwa, M. Rubinstein, F. Durand, and W. T. Freeman.  In Computational Photography (ICCP), 2014 IEEE International Conference on Computational Photography. IEEE, 2014.

“Automatically Recognizing On-Ball Screens,” A. McQueen, J. Wiens, and J. Guttag, Sloan Sports Analytics Conference, March 2014.

“A Data-driven Method for In-game Decision Making in MLB,” G. Ganeshpapillai and J. Guttag, KDD 2013, Sloan Sports Analytics Conference, March 2014.

“Modeling and Optimizing Eye Vergence Response to Stereoscopic Cuts”, Krzysztof Templin, Piotr Didyk, Karol Myszkowski, Mohamed M. Hefeeda, Hans-Peter Seidel, Wojciech Matusik, ACM Transactions on Graphics (ACM Siggraph) 2014, accepted.

“Anahita: A System for 3D Video Streaming with Depth Customization”, Kiana Calagari, Krzysztof Templin, Tarek Elgamal, Khaled Diab, Piotr Didyk, Wojciech Matusik, Mohamed Hefeeda, ACM Multimedia 2014.

"Player Motion Analysis: Automatically Classifying NBA Plays," Mitchell Kates,  M.Eng. Thesis, MIT, September 2014.

Mohamed A. Elgharib, Mohamed Hefeeda, Frédo Durand, William T. Freeman Video Magnification in Presence of Large Motions IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.

"Visual Vibrometry: Estimating Material Properties From Small Motion in Video," Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Fredo Durand, William T. Freeman; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 5335-5343.

"Image-Space Modal Bases for Plausible Manipulation of Objects in Video," Abe Davis, Justin Chen, Fredo Durand, accepted to ACM Siggraph Asia.

"Efficient Cloud Photo Enhancement using Compact Transform Recipes, " Michael, Sylvain, Fredo , Yichang , Jonathan Ragan-Kelley, Gaurav Chaurasia, accepted to ACM Siggraph Asia.

"Deviation Magnification: Revealing Geometric Deviation in a Single Image, "Tali Dekel, Neal Wadhwa, Donglai Chen, Fredo Durand, William Freeman, accepted to ACM Siggraph Asia.