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Things to look out for at VAST ’09

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vast09

VAST is the Visual Analytics track at the Annual VisWeek conference. This year the VisWeek conference will be held in Atlantic city, NJ from October  11th-16th. In the next few posts, I shall post my views on things to look out for in each of the tracks at the VisWeek conference: VAST, Vis and Infovis. Here are some exciting talks/panels/sessions that I’m looking forward to this year (Links and other material shall be updated as soon as the papers are available):

Interactive Visual Clustering of Large Collections of Trajectories,
Gennady Andrienko, Natalia Andrienko, Salvatore Rinzivillo, Mirco Nanni, Dino Pedreschi, Fosca Giannotti

A Framework for Uncertainty-Aware Visual Analytics
Carlos D. Correa, Yu-Hsuan Chan, Kwan-Liu Ma

Parallel Tag Clouds to Explore and Analyze Faceted Text Corpora (YouTube Video)
Christopher Collins, Fernanda B. Viégas, Martin Wattenberg

Describing Story Evolution from Dynamic Information Streams
Stuart Rose, Scott Butner, Wendy Cowley, Michelle Gregory, Julia Walker

Evaluating Visual Analytics Systems for Investigative Analysis: Deriving Design Principles from a Case Study
Youn-ah Kang, Carsten Görg, John Stasko

Visual Analysis of Graphs with Multiple Connected Components
Tatiana von Landesberger, Melanie Görner, Tobias Schreck

VAST Best Paper Award: Iterative Integration of Visual Insights during Patent Search and Analysis
Steffen Koch, Harald Bosch, Mark Giereth, Thomas Ertl

FinVis: Applied Visual Analytics for Personal Financial Planning
Stephen Rudolph, Anya Savikhin, David S. Ebert

Visual Opinion Analysis of Customer Feedback Data
Daniela Oelke, Ming Hao, Christian Rohrdantz, Daniel A. Keim, Umeshwar Dayal, Lars-Erik Haug, Halldór Janetzko

VAST Capstone Panel
How Interactive Visualization Can Assist Investigative Analysis: Views and Perspectives from Domain Experts
Organizer: John Stasko
Panelists: Sarah Cohen, Lawrence Hunter, Joe Parry

Are you planning to come by to the VisWeek conference? Is so, which sessions are you interested in?

Written by alark

October 6, 2009 at 4:50 pm

Visualization in Sports

with 23 comments

This article is not about “improving your ability in sports using visualization“. This post is focused on the ubiquity of computer graphics and visualization in sports. As a television viewer, player, coach or just a curious  individual, you may have seen some of these visualizations for analyzing a game. It seems more common for coaches to use visual analytic tools to analyze the opposing teams in almost all sports now. 

Visualizing American football (NFL)

  • Professor Chris Healey from NCSU has an interesting project on visualizing NFL games. The project details can be found at http://www.csc.ncsu.edu/faculty/healey/NFL_viz/.Here is a screenshot of a small section of the visualization of the entire SuperBowl 2009 game between Arizona and Pittsburgh. 

superbowl_09

 

 

Visualizing Baseball (MLB

 

Visualizing Basketball (NBA  & WNBA)

 

Visualizing Cricket 

  • -Infographics is widely used in telecasts – Bowling overview, batting overview (wagon wheel) to show which parts of a ground is a particular player hitting to in that innning. A snapshot of a wagon wheel (as it is called) is shown here (Image credits: cricinfo) 

gilchrist

 

 

Golf swing visualization

  • Urtasun et al. published a paper for 3D tracing of the golf swing. Here is the citation and the link to the paper: Raquel Urtasun , David J. Fleet , Pascal Fua, Monocular 3-D Tracking of the Golf Swing , Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) – Volume 2, p.932-938, June 20-26, 2005.  Here is a snapshot from their paper. golf
  • Naturally, there would be a company selling a product for such sort of a thing. Flightscope, the company that tracks a tennis ball for debatable calls during a match,  uses 3D Doppler tracking for tracking your golf swing -

I am sure you have seen visualization and infographics being widely used in your favorite sports. Please feel free to add a link or even mention it in the comments section.

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