Paper Info
Title
Video source identification in lossy wireless networks
Abstract
Video source identification is very important in validating video evidence, tracking down video piracy crimes and regulating individual video sources. With the prevalence of wireless communication, wireless video cameras continue to replace their wired counterparts in security/surveillance systems and tactical networks. However, wirelessly streamed videos usually suffer from blocking and blurring due to inevitable packet loss in wireless transmissions. The existing source identification methods experience significant performance degradation or even fail to work when identifying videos with blocking and blurring. In this paper, we propose a method which is effective and efficient in identifying such wirelessly streamed videos. In addition, we also propose to incorporate wireless channel signatures and selective frame processing into source identification, which significantly improve the identification speed.
Year
DOI
Venue
2013
10.1109/INFCOM.2013.6566766
INFOCOM
Keywords
Field
DocType
wireless video cameras,video source identification,wireless transmissions,tactical networks,source identification,video piracy crimes,wireless communication,radio networks,lossy wireless networks,wireless channels,wireless channel signatures,cameras,video evidence,security-surveillance systems,telecommunication security,wirelessly streamed videos,inevitable packet loss,individual video sources,selective frame processing,video surveillance,wireless sensor networks,packet loss,noise
Fixed wireless,Key distribution in wireless sensor networks,Wireless network,Wireless,Wireless site survey,Computer science,Computer network,Wireless WAN,Video tracking,Wi-Fi array
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4673-5944-3
4
PageRank 
References 
Authors
0.42
3
4
Name
Order
Citations
PageRank
Shaxun Chen128515.30
Amit Pande226924.58
Kai Zeng382566.24
Prasant Mohapatra44344304.46