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Proceedings Paper

Interactive video compression for remote sensing
Author(s): Ray Maleh; Frank A. Boyle; Paul B. Deignan; Jerry W. Yancey
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Paper Abstract

Modern day remote video cameras enjoy the ability of producing quality video streams at extremely high resolutions. Unfortunately, the benefit of such technology cannot be realized when the channel between the sensor and the operator restricts the bit-rate of incoming data. In order to cram more information into the available bandwidth, video technologies typically employ compression schemes (e.g. H.264/MPEG 4 standard) which exploit spatial and temporal redundancies. We present an alternative method utilizing region of interest (ROI) based compression. Each region in the incoming scene is assigned a score measuring importance to the operator. Scores may be determined based on the manual selection of one or more objects which are then automatically tracked by the system; or alternatively, listeners may be pre-assigned to various areas that trigger high scores upon the occurrence of customizable events. A multi-resolution wavelet expansion is then used to optimally transmit important regions at higher resolutions and frame rates than less interesting peripheral background objects subject to bandwidth constraints. We show that our methodology makes it possible to obtain high compression ratios while ensuring no loss in overall situational awareness. If combined with modules from traditional video codecs, compression ratios of 100:1 to 1000:1, depending on ROI size, can easily be achieved.

Paper Details

Date Published: 25 May 2011
PDF: 11 pages
Proc. SPIE 8020, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII, 80200T (25 May 2011); doi: 10.1117/12.886426
Show Author Affiliations
Ray Maleh, L-3 Communications Integrated Systems (United States)
Frank A. Boyle, L-3 Communications Integrated Systems (United States)
Paul B. Deignan, L-3 Communications Integrated Systems (United States)
Jerry W. Yancey, L-3 Communications Integrated Systems (United States)


Published in SPIE Proceedings Vol. 8020:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII
Daniel J. Henry; Beato T. Cheng; Dale C. Linne von Berg; Darrell L. Young, Editor(s)

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