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A video stream management system for heterogeneous information integration environments
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Conference On Ubiquitous Information Management And Communication archive
Proceedings of the 2nd international conference on Ubiquitous information management and communication table of contents
Suwon, Korea
SESSION: Information management table of contents
Pages 202-207  
Year of Publication: 2008
ISBN:978-1-59593-993-7
Authors
Yousuke Watanabe  Japan Science and Technology Agency
Ryo Akiyama  University of Tsukuba
Kousuke Ohki  University of Tsukuba
Hiroyuki Kitagawa  University of Tsukuba
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Massive data streams are obtained from various types of sources such as sensors, GPS and live cameras. Since demand for applications integrating multiple data streams and databases is increasing, we must consider an integration framework for heterogeneous information sources. Integrating numeric and text streams is comparatively easy, but integrating video streams and other sources is difficult because of the properties of video streams: highly-frequent, largevolume and complex binary data. Based on this background, we propose a video stream management system. The system provides a SQL-like query interface for heterogeneous information sources including video streams. To integrate video streams, we employ an abstract data type to hold a subsequence of video frames and functions to extract metadata from video data. Beyond that, we also propose a dynamic source selection scheme for some applications, like moving object tracking with video streams. The scheme is used when information sources to be accessed may change according to changes in user interest. Our system dynamically accesses necessary information sources and saves system resources by closing connections to unnecessary information sources.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Daniel J. Abadi, Yanif Ahmad, Magdalena Balazinska, Ugur Cetintemel, Mitch Cherniack, Jeong-Hyon Hwang, Wolfgang Lindner, Anurag Maskey, Alex Rasin, Esther Ryvkina, Nesime Tatbul, Ying Xing and Stanley B. Zdonik, "The Design of the Borealis Stream Processing Engine," Proc. CIDR, 2005.
 
3
4
 
5
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman, Frederick Reiss and Mehul A. Shah, "TelegraphCQ: Continuous Dataflow Processing for an Uncertain World," Proc. CIDR, 2003.
 
6
Rajeev Motwani, Jennifer Widom, Arvind Arasu, Brian Babcock, Shivnath Babu, Mayur Datar, Gurmeet Singh Manku, Chris Olston, Justin Rosenstein and Rohit Varma, "Query Processing, Resource Management, and Approximation in a Data Stream Management System," Proc. CIDR, 2003.
 
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Yousuke Watanabe, Shinichi Yamada, Hiroyuki Kitagawa and Toshiyuki Amagasa, "Integrating a Stream Processing Engine and Databases for Persistent Streaming Data Management," Proc. DEXA, pp. 414--423, 2007.
 
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Argos View. http://argosview.jp/index.html
 
11
Ekahau Positioning Engine. http://www.ekahau.com/?id=4500
 
12
OpenCV. http://www.intel.com/technology/computing/opencv/index.htm
 
13
QuickTime for Java. http://developer.apple.com/quicktime/qtjava/
 
14
PlaceEngine. http://www.placeengine.com/
 
15
StreamSpinner. http://www.streamspinner.org/

Collaborative Colleagues:
Yousuke Watanabe: colleagues
Ryo Akiyama: colleagues
Kousuke Ohki: colleagues
Hiroyuki Kitagawa: colleagues