[dbjapan] Cyrus Shahabi先生のご講演 ９月９日 夕刻１８：：１５－
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- Subject: [dbjapan] Cyrus Shahabi先生のご講演 ９月９日 夕刻１８：：１５－
- From: Masaru Kitsuregawa <kitsure [at] tkl.iis.u-tokyo.ac.jp>
- Date: Wed, 21 Aug 2019 21:17:34 +0900
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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。 -------------------------------------------------------- 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.
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