Rich Media

Rich media data, such as video, imagery, and music, do no longer play just a supporting role to text data. On the contrary, on sites such as Flickr and YouTube, rich media is the primary content. Thanks to the phenomena of user generated content, the volume of rich media being transmitted on the Internet has surpassed that of text. It is vital to properly manage media data to ensure efficient bandwidth utilization, to support effective index and search, and to safeguard copyrights, just to name a few. This rich media track encourages contributions dealing with Web-scale media-data management on the following relevant topics:

• Indexing and retrieval of Web rich-media content
• Tagging of rich-media data
• Scalable machine learning and data mining techniques for media data analysis
• Applications of Web rich media: biomedicine, education, entertainment, animation, art, cultural studies, etc.
• User interface, virtual environments, authoring, multi-modal interaction
• Rich media systems: protocols, content delivery, integration, synchronization, wireless, etc.

Paper formatting requirements will be provided on the submissions page.

• Track Chairs:
  Ed Chang (Google, China)
  Alan Hanjalic (TU Delft, Netherlands)
• Program Committee:
  Alan Smeaton (Dublin City University)
  Alex Hauptmann (Carnegie Mellon University)
  Bernard Merialdo (EURECOM)
  Björn Þór Jónsson (Reykjavík University, Iceland)
  Chitra Dorai (IBM Research, USA)
  Chuck Rosenberg (Google, USA)
  Gang Wu (Microsoft, USA)
  Hari Sundaram (Arizona State University)
  Jia Li (The Pennsylvania State University)
  Laurent AMSALEG (CNRS-IRISA, France)
  Lee-Feng Chien (Google, Taiwan)
  Lei Zhang (Microsoft Research Asia, China)
  Mark Liao (Institute of Information Science Academia Sinica, Taiwan)
  Michael Lyu (The Chinese University of Hong Kong)
  Mohan Kankanhalli (National University of Singapore (NUS), Singapore)
  Noboru Babaguchi (Osaka University, Japan)
  Rainer Lienhart (University of Augsburg, Germany)
  Stephane Marchand-Maillet (University of Geneva, Switzerland)
  Tat-Senf Chua (National University of Singapore, Singapore)
  Vincent Oria (NJIT)
  Yi Wu (Intel Research, USA)