DocumentCode :
2576382
Title :
Video Outage Detection: Algorithm and evaluation
Author :
Reibman, Amy R. ; Wilks, Allan R.
Author_Institution :
AT&T Labs.-Res., Florham Park, NJ, USA
fYear :
2009
fDate :
6-8 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
We present a video outage detection algorithm (VODA) that detects catastrophic failures in video systems by mimicking human behavior. VODA uses a continuity detector for video, audio, and motion, along with blackness, silence, and stillness detection. An outage is declared when all individual features exhibit a sudden drop; an alarm is generated when an outage lasts over two seconds. We analyze the performance of VODA on a large corpus of movie and TV episodes, and we show it has good performance when applied to 160 hours of recorded broadcast TV.
Keywords :
audio signal processing; image motion analysis; video signal processing; audio detection; blackness detection; catastrophic failures detection; continuity detector; motion detection; silence detection; stillness detection; video detection; video outage detection algorithm; video systems; Detection algorithms; Detectors; Humans; Monitoring; Motion detection; Motion pictures; Performance analysis; Signal analysis; TV; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
Type :
conf
DOI :
10.1109/PCS.2009.5167384
Filename :
5167384
Link To Document :
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