MOBILE IMAGE MATCHING - TOWARDS MOBILE AUGMENTED REALITY
Prof. Bernd Girod
Abstract
Handheld mobile devices, such as camera phones or PDAs, are expected
to become ubiquitous platforms for visual search and mobile augmented
reality applications. For mobile image matching, a visual data base is
typically stored at a server in the network. Hence, for a visual
comparison, information must be either uploaded from the mobile to the
server, or downloaded from the server to the mobile. With relatively
slow wireless links, the response time of the system critically
depends on how much information must be transferred. We review recent
advances in mobile matching, using a "bag-of-visual-words" approach
with robust feature descriptors, and show that dramatic speed-ups are
possible by considering recognition and compression jointly.
Real-time implementations of different applications, such as
recognition of landmarks or CD covers, demonstrate the relative
advantages of image processing on the phone, the server, and/or both.
Biography
Bernd Girod is Professor of Electrical Engineering and (by courtesy)
Computer Science in the Information Systems Laboratory of Stanford
University, California. He was Chaired Professor of Telecommunications
in the Electrical Engineering Department of the University of
Erlangen-Nuremberg until 1999. His research interests are in the areas
of video compression, networked media systems, and image databases. He
has published over 400 conference and journal papers, as well as 5
books. Professor Girod has been involved in several startup ventures,
among them Polycom (Nasdaq:PLCM), Vivo Software, 8x8 (Nasdaq: EGHT),
and RealNetworks (Nasdaq: RNWK). He received the Engineering Doctorate
from University of Hannover, Germany, and an M.S. Degree from Georgia
Institute of Technology. Prof. Girod is a Fellow of the IEEE and of
EURASIP and a member of the German National Academy of Sciences. He
received the 2002 EURASIP Best Paper Award, the 2004 EURASIP Technical
Achievement Award, and the 2007 IEEE Multimedia Communication Best
Paper Award.