Fire Detection in H.264 Compressed Video

In this paper, we propose a compressed domain fire detection algorithm using macroblock types and Markov Model in H.264 video. Compressed domain method does not require decoding to pixel domain, instead a syntax parser extracts syntax elements which are only available in compressed domain. Our metho...

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Veröffentlicht in:Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 8310 - 8314
Hauptverfasser: Savci, Murat Muhammet, Yildirim, Yasin, Saygili, Gorkem, Toreyin, Behcet Ugur
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2019
Schlagworte:
compressed domain
Decoding
Detection algorithms
fire detection
H.264/AVC
Image coding
mac-roblock type
Markov processes
Microsoft Windows
Streaming media
Syntactics
ISSN:2379-190X
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Zusammenfassung:In this paper, we propose a compressed domain fire detection algorithm using macroblock types and Markov Model in H.264 video. Compressed domain method does not require decoding to pixel domain, instead a syntax parser extracts syntax elements which are only available in compressed domain. Our method extracts only macroblock type and corresponding macroblock address information. Markov model with fire and non-fire models are evaluated using offline-trained data. Our experiments show that the algorithm is able to detect and identify fire event in compressed domain successfully, despite a small chunk of data is used in the process.
ISSN:2379-190X
DOI:10.1109/ICASSP.2019.8683666