CITI--Some Challenges in Multimedia Computing & Communications and Location-based Services
- LecturerProf. Kien A. Hua (School of EECS, University of Central Florida)
Host: Prof. Lin, Kate Ching-Ju - Time2010-07-23 (Fri.) 10:30 – 12:00
- LocationAuditorium 101 at new IIS Building
Abstract
Abstract:
In this presentation, we examine a number of research
challenges relevant to the IIS and CITI at Academia
Sinica. Content-based image retrieval (CBIR) techniques
have important applications including image search on the
Internet, automatic medical diagnosis, computer-aided
drug design, genomic research, multimedia information
systems, electronic catalogs in e-commerce, and
intelligent transportation systems, just to name a few.
The effectiveness of today’s CBIR techniques, however,
is still quite limited due to the so-called semantic gap,
i.e., the visual features (e.g., color layouts, texture,
etc.) used to characterize images are not representative
of the semantic content. In this presentation, we first
look at how CBIR can be effective for domain-specific
applications. In particular, we focus on medical images.
We then examine the semantic-gap challenge, and discuss
one proposal for this problem, namely the Query
Decomposition approach. In terms of video applications,
we discuss a live video database management system as a
general purpose approach to enable ad-hoc event detection
and rapid development of video surveillance applications.
The second part of this presentation focuses on wireless
multimedia communications. We discuss a Dynamic Stream
Merging technique for efficient and robust
video-on-demand services to mobile users in wireless mesh
networks at the edges. This is a new communication
paradigm, in which multicast topologies are created
incrementally through dynamic merging of server streams
at the mesh nodes. This is accomplished without the
assistance of the server. To support high mobility in ad
hoc networks, we examine a virtual router concept. Since
such virtual routers are stationary, communications
through virtual routes are robust regardless of the
mobility. Finally, we deal with the communication
bottleneck in location-based services. We first review
two original solutions known as Safe Region and Resident
Domain, and then introduce a highly scalable sensor-based
approach.
Bio:
Kien A. Hua is a Professor of Computer Science, and
Director of the Data Systems Lab at the University of
Central Florida. He had served as the Associate Dean for
Research of the College of Engineering and Computer
Science at UCF. Prior to joining UCF, he was a lead
architect at IBM Mid-Hudson Lab, where he led a team of
senior designers to develop a highly parallel computer
system. This system is the precursor to the highly
successful commercial parallel computer known as SP2. Dr.
Hua received his B.S. in Computer Science, and M.S. and
Ph.D. in Electrical Engineering, all from the University
of Illinois at Urbana-Champaign. His current research
interests include multimedia computing, network and
wireless communications, databases, medical imaging,
sensor computing, and intelligent transportation
systems. He has published widely, with several papers
recognized as best papers at conferences. He has served
as a Conference Chair, an Associate Chair, and a Technical
Program Committee Member of numerous international
conferences, as well as on the editorial boards of a number
of professional journals. Dr. Hua is a Fellow of IEEE.