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  1. Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
  2. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5
  3. Issue 3, August 2009
  4. Design of multimedia surveillance systems
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 10
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 9
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 8
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7S
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 6
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5
Issue 4, October 2009
Issue 3, August 2009
Introduction to the special section for the best papers of ACM multimedia 2008
Fragment, tag, enrich, and send: Enhancing social sharing of video
The big picture on small screens delivering acceptable video quality in mobile TV
Compact and progressive plant models for streaming in networked virtual environments
Client-centered multimedia content adaptation
Design of multimedia surveillance systems
SEVA: Sensor-enhanced video annotation
Multipath live streaming via TCP: Scheme, performance and benefits
Playout buffer and rate optimization for streaming over IEEE 802.11 wireless networks
Issue 2, November 2008
Issue 1, October 2008
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 4
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 3
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 2
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 1

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Design of multimedia surveillance systems

Content Provider ACM Digital Library
Author Sivaram, G. S. V. S. Kankanhalli, Mohan S. Ramakrishnan, K. R.
Copyright Year 2009
Abstract This article addresses the problem of how to select the optimal combination of sensors and how to determine their optimal placement in a surveillance region in order to meet the given performance requirements at a minimal cost for a multimedia surveillance system. We propose to solve this problem by obtaining a performance vector, with its elements representing the performances of subtasks, for a given input combination of sensors and their placement. Then we show that the optimal sensor selection problem can be converted into the form of Integer Linear Programming problem (ILP) by using a linear model for computing the optimal performance vector corresponding to a sensor combination. Optimal performance vector corresponding to a sensor combination refers to the performance vector corresponding to the optimal placement of a sensor combination. To demonstrate the utility of our technique, we design and build a surveillance system consisting of PTZ (Pan-Tilt-Zoom) cameras and active motion sensors for capturing faces. Finally, we show experimentally that optimal placement of sensors based on the design maximizes the system performance.
Starting Page 1
Ending Page 25
Page Count 25
File Format PDF
ISSN 15516857
e-ISSN 15516865
DOI 10.1145/1556134.1556140
Volume Number 5
Issue Number 3
Journal ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-08-14
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Performance vector Sensor selection and placement
Content Type Text
Resource Type Article
Subject Hardware and Architecture Computer Networks and Communications
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