Video outage detection: algorithm and evaluation

  • Authors:
  • Amy R. Reibman;Allan R. Wilks

  • Affiliations:
  • AT&T Labs-Research, Florham Park, NJ;AT&T Labs-Research, Florham Park, NJ

  • Venue:
  • PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
  • Year:
  • 2009

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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