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Proceedings Paper

Effects of video compression on target acquisition performance
Author(s): Richard L. Espinola; Jae Cha; Bradley Preece
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Paper Abstract

The bandwidth requirements of modern target acquisition systems continue to increase with larger sensor formats and multi-spectral capabilities. To obviate this problem, still and moving imagery can be compressed, often resulting in greater than 100 fold decrease in required bandwidth. Compression, however, is generally not error-free and the generated artifacts can adversely affect task performance. The U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate recently performed an assessment of various compression techniques on static imagery for tank identification. In this paper, we expand this initial assessment by studying and quantifying the effect of various video compression algorithms and their impact on tank identification performance. We perform a series of controlled human perception tests using three dynamic simulated scenarios: target moving/sensor static, target static/sensor static, sensor tracking the target. Results of this study will quantify the effect of video compression on target identification and provide a framework to evaluate video compression on future sensor systems.

Paper Details

Date Published: 11 April 2008
PDF: 10 pages
Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 694107 (11 April 2008); doi: 10.1117/12.779190
Show Author Affiliations
Richard L. Espinola, U.S. Army RDECOM, CERDEC, NVESD (United States)
Jae Cha, U.S. Army RDECOM, CERDEC, NVESD (United States)
Bradley Preece, EOIR Technologies (United States)

Published in SPIE Proceedings Vol. 6941:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX
Gerald C. Holst, Editor(s)

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