Evaluation of video compression technologies for ATR

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5426, Issue , 2004, Pages 370-378

  Sims, S Richard F ^a   Mills, Jonathan A ^a   Topiwala, Pankaj N ^b  

^a US Army RD and EC   (United States)

^b FastVDO Inc   (United States)

Author keywords

Detection; Digital Video Compression; H.264; MPEG; Surveillance; Target Recognition

Indexed keywords

DETECTION; DIGITAL VIDEO COMPRESSION; H.264; MPEG; SURVEILLANCE; TARGET RECOGNITION;

ALGORITHMS; CODES (STANDARDS); COMPUTER VISION; DATA ACQUISITION; IMAGE CODING; RADAR TARGET RECOGNITION; SURVEILLANCE RADAR;

IMAGE COMPRESSION;

EID: 10444223914     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.542279     Document Type: Conference Paper

References (5)

1. S. Richard F. Sims, "Data compression issues in automatic target recognition and the measuring of distortion," Optical Engineering, Vol. 36, No. 10, pp. 2671-2674, Oct. 1997.
2. A. Luthra, P. Topiwala, "Overview of the H.264 Video Compression Standard," Proc. SPIE Int'l Symposium, Appl. Dig. Imaging, Aug., 2003.
3. P. Topiwala, ed., Video Compression Standards: The Emergence of H.264, Kluwer Academic Publishers, 2004.
4. A. Mahalanobis, B.V.K. Vijaya Kumar, S.R.F. Sims, J. Epperson, "Unconstrained Correlation Filters," Applied Optics, Vol. 33, pp. 3751-3759, 1994.
5. A. Mahalanobis, B.V.K, Vijaya Kumar," On the optimality of the MACH filter for detection of targets in noise" Optical Engineering, Special Issue on Correlation Pattern Recognition, Vol. 36 (10), pp. 2642-2648, October 1999.