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Proceedings Paper

Spatial mask and diffusion filtering in surveillance video compression
Author(s): M. Ryan Bales; Steve E. Watkins
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Paper Abstract

A surveillance-centric video compression algorithm is discussed that exploits a background model, motion estimation, truncated difference correction, and entropy encoding. The algorithm's architecture allows tradeoffs between image quality and compression to target regions of salient activity. A set of window-based filters and heat diffusion PDEs is examined for impact on compression ratio and signal quality. Results show that filtering techniques are effective at reducing certain contributions to the data stream with minimal impact on image quality. Results from other compression codecs are included for comparison. The test set comprises a diverse range of surveillance scenes featuring vehicular and pedestrian traffic.

Paper Details

Date Published: 4 April 2012
PDF: 16 pages
Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472L (4 April 2012); doi: 10.1117/12.915378
Show Author Affiliations
M. Ryan Bales, Missouri Univ. of Science and Technology (United States)
Steve E. Watkins, Missouri Univ. of Science and Technology (United States)


Published in SPIE Proceedings Vol. 8347:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012
Andrew L. Gyekenyesi, Editor(s)

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