[dbjapan] Cyrus Shahabi先生のご講演 ９月９日 夕刻１８：：１５－

[Masaru Kitsuregawa <kitsure [at] tkl.iis.u-tokyo.ac.jp>]

データベースな皆様

　Cyrus Shahabi先生の講演を以下のように開催しますので奮って
ご参加下さい。

Enabling Spatial-Visual Search for Geospatial Image Databases
場所　国立情報学研究所　１９階


いつでも切れ味の良いご講演を頂いております。

喜連川優　データベース学会会長です。


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Dear all,

I am pleased to announce that Professor Cyrus Shahabi, 
University of Southern California will give a talk. You are 
most welcome to come and join us.

Date: 6:15pm start, Monday, September 9,  2019
Place : Room 1901-1902, 19th Floor, NII

Title:
Enabling Spatial-Visual Search for Geospatial Image Databases

Abstract:
Due to the ubiquity of GPS-equipped cameras, captured photos 
are automatically tagged with camera location (referred to 
as geo-tagged images) at the acquisition time. Subsequently, 
web and mobile applications are emerging that provide search 
capabilities for images that are similar to a given query 
image and within a given geographical region (referred to as 
spatial-visual search).
In this talk, I focus on two research challenges to enable 
spatial-visual search. First, I will discuss the need for 
new index structures to expedite image search based on both 
spatial and visual relevance. Hence, I present a generic 
index structure which supports organizing the images using 
their spatial and visual properties, and also supports an 
adaptive distribution of images based on different local 
partitioning either spatially or visually.
Second, I discuss the challenge of inferring a location for 
the legacy images that are collected without spatial 
metadata. To utilize and support spatial-visual search for 
such images, there is a need for an accurate image 
localization technique for non-geo-tagged images. Moreover, 
even for geo-tagged images, the camera location of an image 
can be different from the location of the scene depicted in 
the image (referred to as scene location) rendering its 
native localization inaccurate. To address this problem, I 
present a framework for image scene localization using a 
CNN-based classification.
I conclude by showing how spatial-visual search can be used 
for retrieving images to be analyzed for various smart-city 
applications in Los Angeles (e.g., street cleanliness and 
graffiti recognition).

About the speaker:
Cyrus Shahabi is a Professor of Computer Science, Electrical 
Engineering and Spatial Sciences; the chair of the Computer 
Science Department; and the director of the Integrated Media 
Systems Center (IMSC) at USC’s Viterbi School of 
Engineering.  He was co-founder of two USC spin-offs, 
Geosemble Technologies and Tallygo, which both were 
acquired, in July 2012 and March 2019, respectively. He 
received his B.S. in Computer Engineering from Sharif 
University of Technology in 1989 and then his M.S. and Ph.D. 
Degrees in Computer Science from the University of Southern 
California in May 1993 and August 1996, respectively. He 
authored two books and more than three hundred research 
papers in databases, GIS and multimedia with more than 12 US 
Patents.
Dr. Shahabi has received funding from several agencies such 
as NSF, NIJ, NASA, NIH, DARPA, AFRL, NGA and DHS as well as 
several industries such as Chevron, Google, HP, Intel, 
Microsoft, NCR, NGC and Oracle. He was an Associate Editor 
of IEEE Transactions on Parallel and Distributed Systems 
(TPDS) from 2004 to 2009, IEEE Transactions on Knowledge and 
Data Engineering (TKDE) from 2010-2013 and VLDB Journal from 
2009-2015. He is currently the chair of ACM SIGSPATIAL for 
the 2017-2020 term and also on the editorial board of the 
ACM Transactions on Spatial Algorithms and Systems (TSAS) 
and ACM Computers in Entertainment. He is the founding chair 
of IEEE NetDB workshop and also the general co-chair of 
SSTD’15, ACM GIS 2007, 2008 and 2009. He chaired the 
founding nomination committee of ACM SIGSPATIAL for its 
first term (2011-2014 term). He has been PC co-chair of 
several conferences such as APWeb+WAIM’2017, BigComp’2016, 
MDM’2016, DASFAA 2015, IEEE MDM 2013 and
 IEEE BigData 2013, and regularly serves on the program 
committee of major conferences such as VLDB, SIGMOD, IEEE 
ICDE, ACM SIGKDD, IEEE ICDM, and ACM Multimedia.
Dr. Shahabi is a fellow of IEEE, and a recipient of the ACM 
Distinguished Scientist award in 2009, the 2003 U.S. 
Presidential Early Career Awards for Scientists and 
Engineers (PECASE), the NSF CAREER award in 2002, and the 
2001 Okawa Foundation Research Grant for Information and 
Telecommunications. He was also a recipient of the US 
Vietnam Education Foundation (VEF) faculty fellowship award 
in 2011 and 2012, an organizer of the 2011 National Academy 
of Engineering “Japan-America Frontiers of Engineering” 
program, an invited speaker in the 2010 National Research 
Council (of the National Academies) Committee on New 
Research Directions for the National Geospatial-Intelligence 
Agency, and a participant in the 2005 National Academy of 
Engineering “Frontiers of Engineering” program.