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2005
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Critical video quality for distributed automated video surveillance

9 years 23 days ago
Critical video quality for distributed automated video surveillance
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to transmit video streams for monitoring often strains the capability of the network. On the other hand, large-scale surveillance systems often rely on computer vision algorithms to automate surveillance tasks. We observe that these surveillance tasks present an opportunity for trade-off between the accuracy of the tasks and the bit rate of the video being sent. This paper shows that there exists a sweet spot, which we term critical video quality that can be used to reduce video bit rate without significantly affecting the accuracy of the surveillance tasks. We demonstrate this point by running extensive experiments on standard face detection and face tracking algorithms. Our experiments show that face detection works equally well even if the quality of compression is significantly reduced, and face tracking ...
Pavel Korshunov, Wei Tsang Ooi
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where MM
Authors Pavel Korshunov, Wei Tsang Ooi
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