WebVision 2012: The ECCV Workshop on Computer Vision for the Web
12th and 13th October, 2012, Florence, Italy

http://research.microsoft.com/~manik/events/WebVision2012/index.html

The Internet is increasingly throwing up challenging computer vision
applications that are not only commercially important but also have
fundamental research questions embedded in them. These problems lie at
the intersection of computer vision, machine learning, data mining,
information retrieval, natural language processing, game theory, human
computer interaction, etc. Our objective, in this workshop, is to get
researchers from academia and industry together so as to identify
exciting applications of computer vision on the Web, highlight the
multi-disciplinary nature of the research problems they spawn and
discuss how computer vision techniques can be brought to bear to
improve the state-of-the-art.

Internet computer vision has typically been considered from the
perspective of data driven vision or of applying classical vision
techniques at Web scale. We would like to broaden the ambit to include
vision applications which necessitate exploiting Web content, Web
structure and user information. For instance, keyword based image
search, rich advertising in terms of both rich content and rich ads,
visual analysis in social networking and building visually rich
narratives all fall within this domain. It is critical to embrace such
applications as they have the potential of becoming disruptive in the
future. Furthermore, they open up new frontiers in computer vision
research, such as those arising from the joint modeling of users,
visual content and non-visual information based on text, links and
location.

The Workshop will consist of a series of invited talks surveying the
state-of-the-art and presenting novel research on Internet computer
vision problems. Attendees will benefit from the diverse perspectives
and expertise that the speakers bring from the fields of computer
vision, machine learning, computational advertising, web search and
multi-modal user interaction. The talks will not only cover topics in
data driven vision and large scale learning but also focus on computer
vision research opportunities in keyword based image search, joint
image and text modelling, rich advertising, the illustration of
textual corpora and the visual aspects of social network analysis. The
talks will present research advances in core vision techniques as well
as approaches for leveraging non-visual meta-data and user information
for solving visual tasks on the Web.

Speakers
Rakesh Agrawal (Microsoft Research Silicon Valley)
Serge Belongie (UCSD)
Samy Bengio (Google)
Shih-Fu Chang (Columbia)
Trevor Darrell (Berkeley)
Rob Fergus (NYU)
Brian Kulis (Ohio State)
Gert Lanckriet (UCSD)
Fei-Fei Li (Stanford)
Louis-Philippe Morency (USC)
S. Muthu Muthukrishnan (Rutgers)
Steve Seitz (UW)
Rick Szeliski (Microsoft Research Redmond)
Manik Varma (Microsoft Research India)
Jason Weston (Google)