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ACM SIGMOD日本支部 講演会(チュートリアル)

「Scalable Techniques for Managing and Communicating Multimedia, Sensor, and Location Data」

講演者:Prof. Kien A. Hua (University of Central Florida)
日時:2006年05月29日(月) 17:30 - 18:30
開催場所東京大学生産技術研究所 E棟 会議室B(Ew-502)
主催:日本データベース学会・ACM SIGMOD日本支部 共催
支部長:北川 博之

Abstract

In this presentation, we introduce various research works in the
Data Systems Lab at the University of Central Florida.  The presentation
consists of three parts: (1) data management techniques, (2) data
communication
techniques, and (3) their applications.
1. Data Management
We discuss techniques for managing multimedia, location, and sensor data.
More specifically, we present
  1) a query management technique to significantly reduce
        the expensive costs of location update and server computation
        in processing continuous spatial range monitoring queries,
   2) iSEE - an Internet Sensor Exploration Environment for finding
        gap in image retrieval, and
   3) a Query Decomposition method to effectively address the
     semantic gap in image retrieval,
  4) 2PSM - a 2-Phase Service Model for browsing and searching video
        data
2. Data Communications
We present various communication strategies to address the scalability
issues
in video-on-demand applications; and a robust communication method, called
Connectionless Approach (CLA), to cop with the high mobility in wireless
ad hoc networks.
3. Applications
Finally, we end this talk with two applications: (1) a real-time traffic
evacuation management system being developed for the State of Florida; and
(2) a computer-aided diagnosis system for spine lumbar stenosis.
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