Things to look out for at VAST ’09

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?

Visualization in Sports

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. 

 

•  The NYTimes vis lab has an interesting visualization titled – Rushing points per game – http://vizlab.nytimes.com/visualizations/rushing-points-per-game-nfl-teams-2
• On Many Eyes you can see that common users have generated visualizations of various aspects of football
  • Quarterback salary comparison
  • Graph visualization of the NFL media network
• Visualizing Fantasy Football teams – This paper by Pearlman et al. discussed ways to visualize diversity in a fantasy team and is an interesting read. Jason Pearlman, Penny Rheingans, Marie des Jardins, “Visualizing Diversity and Depth over a Set of Objects,” IEEE Computer Graphics and Applications, vol. 27, no. 5, pp. 35-45, Sep./Oct. 2007, doi:10.1109/MCG.2007.139
• Ben Fry‘s post linking the intelligence of a football player with their position on the field. His post talks about how teams have started using Wonderlic test while scouting players and that their performance on that test becomes one of the factors that determines the position they play on the field. Its quite an interesting read supported ofcourse by visual representations. More at  http://benfry.com/writing/archives/147

 

Visualizing Baseball (MLB) 

• Ben Fry strikes(?) again!! His entertaining interactive ‘Salary vs Performance‘ sketch implemented in Processing provides interesting insights into whether the most expensive team is actually performing the best (or NOT as in the case of the New York Yankees :))  Visit  http://benfry.com/salaryper/ to play with the sketch and find out how your favorite team is doing.
• A very interesting blogpost on ‘Visualizing Tim Wakefield’s knuckleball‘. A statisticians view on analyzing and visualizing baseball pitches and baseball data in general. Has some good links for baseball related data. 
• Josh Kalk’s amazing tool that lets you create your own baseball graph by using a simple interface – http://baseball.bornbybits.com/php/combined_tool.php. For example, playing around with it I found that Alex Rodriguez hits most home runs on a fastball as compared to a slider or a splitter. 
• Can parallel coordinates be far behind? Parallel coordinates for visualizing baseball statistics – http://www.matthewtavares.com/baseball_report/
• Wow! A Baseball visualization tool – Visual io is a visualization company that produces tools for allowing visual analysis of corporate data. They used to have a baseball visualization tool that has been taken down. It was really cool and more details can be found at http://simplecomplexity.net/2008/11/26/visual-ios-baseball-visualization-tool/
• An interesting article by Dan Fox called “Schrodinger’s Bat” on visualizing baseball pitches. Clearly the title is a play of words on Schrodingers Cat  :) Here’s a visualization of DiceK‘s three pitch types. 

 

Visualizing Basketball (NBA  & WNBA)

• Very interesting post on what combinations of players works best and what styles the teams play – Visualizing the WNBA’s top player combinations
• Links to an excellent article about NBA playing style spectrum.The spectrum of most of the famous basketball players can be found at http://gmapuploader.com/iframe/OcGKRzNj4B. Zoom in to explore it closely.
• David Ng’s final project on Professional Basketball Player Performance Trends  from Hanspeter Pfister’s class at Harvard (http://www.seas.harvard.edu/courses/cs171/)  
• ESPN’s Game Flow – Line graph to show the progression of the game 
•  A very amusing visualization correlating Return of Investment on their players. The idea is similar to Ben Fry’s ‘salary vs performance’ sketch, but the visualization here is completely different.
• An awesome visualization of all the shots from the NBA 2007-08 season. Check out their processing sketch at http://jasonrbailey.com/jason/courtvis/. Clearly, players prefer to hit three pointers from the corners than anywhere else. 
• More visualization that look like treemaps from – Road to the NBA finals 
• Another visualization showing something they call the Player Genome . They visualize each player’s stats as a color coded line. The entire visualization does look sort of like a genome :) 

 

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) 

 

• The value of graphical presentation of data: An example from cricket – http://www.mansw.nsw.edu.au/members/reflections/vol23no4skinner.htm

 

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.
• 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.