[4eyes] [FACULTY] CS Colloquium: February 15, 2012: Ben Shneiderman

[Tobias Hollerer]

Also remember that there is another talk, today, announced by Basak 
previously:

It should be especially interesting to compare the approaches presented 
in Nathalie
Henry-Riche's and Ben Shneiderman's talks.

Thanks & Cheers,

     Tobias

> This talk will be interesting.
>
>
> FYI
>
> Speaker: Nathalie Henry-Riche
> Institution: Microsoft Research Redmond
> Dates: Feb 13, 2012 - 3:00 PM
> Room: ESB 2001
>
> Novel Visualizations and Interactions for Social Networks Exploration
>
>
> Collecting data to understand how people communicate, collaborate, what
> information they exchange, what role they play in social groups has been
> tremendously simplified with the popularity of online networking systems
> such as Friendster, LinkedIn, or Facebook. Compared to data collected
> through polls and interviews, collected networks require less processing as
> they are directly stored digitally and open new opportunities for social
> scientists as they are far larger and often contain much richer information.
> However, this avalanche of data raises new challenges for their analysis:
> tools need to support a very large amount of data often evolving through
> time.
>
>
>
> As human brain is particularly effective at processing visual information,
> researchers in computer science developed a number of visual exploration
> system to analyze graphs and networks. In the last five years, an increasing
> part of the research in information visualization focused on graph
> visualization, tackling the problem from novel angles. Our research focused
> on alternative representations to node-link diagrams, supporting the
> analysis of denser networks as well as novel interaction techniques to scale
> to larger datasets. In this talk, I will present an overview of these novel
> visual exploration systems.
>
>
>
> Bio:
>
> Nathalie is a researcher at Microsoft Research since december 2008.
> Her interests lie in the visual exploration of graphs and networks,
> visualization of groups, interactive graph navigation techniques and
> evaluation methods for information visualization. She completed her Ph.D on
> the visual exploration of social networks in 2008, supervised by Pr.
> Jean-Daniel Fekete in France and Pr. Peter Eades in Australia.
>
> Exciting projects she is involved in at MSR include the visualization of
> heterogeneous networks (multiple types of nodes and edges), the
> visualization of networks evolving over time, and taking advantage of
> natural user interactions (sketch, natural language) to create and interact
> with visualizations.



On 2/12/2012 11:36 AM, Matthew Turk wrote:
> There are two talks this week very relevant to the lab's research interests,
> which I hope most of you can attend, both in the CS conference room:
>
> - Tuesday at 11:00am, Mubarak Shah, University of Central Florida
>    "Motion Patterns: A Semantic Representation of Actions, Events, and
> Activities"
>
> - Wednesday at 3:30pm, Ben Shneiderman, University of Maryland
>    "Information Visualization for Social Media Network Analysis"
>
> Details of both are below.
>
> 	Matthew
>
> -----
>
> "Motion Patterns: A Semantic Representation of Actions, Events, and
> Activities"
> Mubarak Shah, Dept. of Electrical Engineering and Computer Science,
> University of Central Florida
>
> Feb 14 (Tue) 11:00 am
> Computer Science Conference Room, Harold Frank Hall Room 1132
>
> ABSTRACT:
> Automatic analysis of videos is one of most challenging problems in Computer
> vision. In this talk I will introduce the problem of action, event, and
> activity representation and recognition from video sequences. I will begin
> by giving a brief overview of a few interesting methods to solve this
> problem, including trajectories, volumes, and local interest points based
> representations.
>
> The main part of the talk will focus on a newly developed framework for the
> discovery and statistical representation of motion patterns in videos, which
> can act as primitive, atomic actions. These action primitives are employed
> as a generalizable representation of articulated human actions, gestures,
> and facial expressions. The motion primitives are learned by hierarchical
> clustering of observed optical flow in four dimensional, spatial and motion
> flow space, and a sequence of these primitives can be represented as a
> simple string, a histogram, or a Hidden Markov model.
>
> I will then describe methods to extend the framework of motion patterns
> estimation to the problem of multi-agent activity recognition. First, I will
> talk about transformation invariant matching of motion patterns in order to
> recognize simple events in surveillance scenarios. I will end the talk by
> presenting a framework in which a motion pattern represents the behavior of
> a single agent, while multi-agent activity takes the form of a graph, which
> can be compared to other activity graphs, by attributed inexact graph
> matching. This method is applied to the problem of American football plays
> recognition.
>
>
> BIO:
> Dr. Mubarak Shah, Agere Chair Professor of Computer Science, is the founding
> director of the Computer Visions Lab at University of Central Florida (UCF).
> He is a co-author of three books (Motion-Based Recognition (1997), Video
> Registration (2003), and Automated Multi-Camera Surveillance: Algorithms and
> Practice (2008)), all by Springer.  He has published extensively on topics
> related to visual surveillance, tracking, human activity and action
> recognition, object detection and categorization, shape from shading, geo
> registration, visual crowd analysis, etc. Dr. Shah is a fellow of IEEE,
> IAPR, AAAS and SPIE. In 2006, he was awarded the Pegasus Professor award,
> the highest award at UCF, given to a faculty member who has made a
> significant impact on the university, has made an extraordinary contribution
> to the university community, and has demonstrated excellence in teaching,
> research and service. He is ACM Distinguished Speaker. He was an IEEE
> Distinguished Visitor speaker for
> 1997-2000, and received IEEE Outstanding Engineering Educator Award in 1997.
> He received the Harris Corporation's Engineering Achievement Award in 1999,
> the TOKTEN awards from UNDP in 1995, 1997, and 2000; SANA award in 2007, an
> honorable mention for the ICCV 2005 Where Am I? Challenge Problem, and was
> nominated for the best paper award in ACM Multimedia Conference in 2005 and
> 2010. At UCF he received Scholarship of Teaching and Learning (SoTL) award
> in 20111; College of Engineering and Computer Science Advisory Board award
> for faculty excellence in 2011; Teaching Incentive Program awards in 1995
> and 2003, Research Incentive Award in 2003 and 2009, Millionaires' Club
> awards in 2005, 2006,  2009, 2010 and 2011; University Distinguished
> Researcher award in 2007.  He is an editor of international book series on
> Video Computing; editor in chief of Machine Vision and Applications journal,
> and an associate editor of ACM Computing Surveys journal. He was an
> associate editor of the
> IEEE Transactions on PAMI, and a guest editor of the special issue of
> International Journal of Computer Vision on Video Computing. He was the
> program co-chair of IEEE Conference on Computer Vision and Pattern
> Recognition (CVPR), 2008.
>
> Hosted by: Professor B. S. Manjunath
>
> ----------------------------
>
> UCSB COMPUTER SCIENCE DEPARTMENT PRESENTS:
>
> Wednesday, February 15, 2012
> 3:30 - 4:30 PM
> Computer Science Conference Room, Harold Frank Hall Rm. 1132
>
> HOST: Matthew Turk
>
> SPEAKER: Ben Shneiderman
> University of Maryland
>
> Title: Information Visualization for Social Media Network Analysis
>
> Abstract:
>
> Network visualization has been a lively topic for a half century, but
> the intense challenges from many facets of this problem demand diverse
> solutions. While the popular force-directed approaches produce appealing
> presentations, they are often so cluttered that the benefits are limited
> to showing large clusters and disconnected outliers.
>
> Interactive approaches that give users control of node and link
> visibility enable them to make more fine-grained analyses that lead to
> important insights about relationships among nodes or the presence of
> exceptional nodes and links. Another important task is to spot the
> absence of expected nodes and links. One strategy is coordinating
> network visualizations with statistical measures from graph theory and
> social network analysis to give users interactive control of ranking,
> filtering and clustering (http://www.cs.umd.edu/hcil/socialaction). A
> second strategy involves a novel layout technique to arrange node
> positions according to their attributes in stable yet comprehensible
> semantic substrates (http://www.cs.umd.edu/hcil/nvss). These novel
> strategies have influenced the design of the novel network visualization
> tool that is embedded in Excel: Network Overview for Discovery and
> Exploration in Excel (NodeXL:http://www.codeplex.com/nodexl ). The main
> application has been social media networks extracted from Twitter,
> Facebook, Flickr, or YouTube usage patterns.
>
> Bio:
>
> Ben Shneiderman is a Professor in the Department of Computer Science and
> Founding Director (1983-2000) of the Human-Computer Interaction
> Laboratory (http://www.cs.umd.edu/hcil/) at the University of Maryland.
> He is a Fellow of the AAAS, ACM, and IEEE, and a Member of the National
> Academy of Engineering.
>
> Prof. Shneiderman is the co-author with Catherine Plaisant of Designing
> the User Interface: Strategies for Effective Human-Computer Interaction
> (5th ed., 2010, http://www.awl.com/DTUI/). With Stu Card and Jock
> Mackinlay, he co-authored Readings in Information Visualization: Using
> Vision to Think (1999). His bookLeonardo's Laptop appeared in October
> 2002 (MIT Press) and won the IEEE book award for Distinguished Literary
> Contribution. His latest book, with Derek Hansen and Marc Smith, is
> Analyzing Social Media Networks with NodeXL (www.codeplex.com/nodexl,
> 2010). This is available for sale on Amazon.com, and Ben would be happy
> to sign copies of the book after his talk.
>
> ----------
>
>
>
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-- 
Tobias Hollerer
Associate Professor, Department of Computer Science
University of California, Santa Barbara, CA 93106-5110

holl at cs.ucsb.edu, Office: (805)284-9395, Fax: (805)893-8553