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A Compression Algorithm for Video Surveillance System

by Dhafer R. Zaghar, Dhulfiaqr S Aldeen A Alwahab, Tawfeeq Enad Abdulabbas
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 24
Year of Publication: 2015
Authors: Dhafer R. Zaghar, Dhulfiaqr S Aldeen A Alwahab, Tawfeeq Enad Abdulabbas
10.5120/20956-3210

Dhafer R. Zaghar, Dhulfiaqr S Aldeen A Alwahab, Tawfeeq Enad Abdulabbas . A Compression Algorithm for Video Surveillance System. International Journal of Computer Applications. 118, 24 ( May 2015), 19-22. DOI=10.5120/20956-3210

@article{ 10.5120/20956-3210,
author = { Dhafer R. Zaghar, Dhulfiaqr S Aldeen A Alwahab, Tawfeeq Enad Abdulabbas },
title = { A Compression Algorithm for Video Surveillance System },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 24 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number24/20956-3210/ },
doi = { 10.5120/20956-3210 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:35.620094+05:30
%A Dhafer R. Zaghar
%A Dhulfiaqr S Aldeen A Alwahab
%A Tawfeeq Enad Abdulabbas
%T A Compression Algorithm for Video Surveillance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 24
%P 19-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The major challenge in surveillance system and visual sensor network lies in how to compress and store video. The deployment from a Digital Video Recorder (DVR) to Network Video Recorder (NVR) made the challenge more complicated, since there is no central unit controlling on the compression and highlight the big data problem on the other hand. This paper presents an algorithm to compress videos considering the contained information. Information is the result of a combination between faces and motion detection techniques. That is when information increases the quality of the stored frame (image) increase and vice-versa. The proposed algorithm is tested under different videos with varied time and information. These videos are also compressed using JPEG-2000 algorithm. The obtained results showed that the proposed algorithm produced less video size with more detailed information than the others.

References
  1. Mic Bowman , Saumya K. Debray , Larry L. Peterson, Reasoning about naming systems, ACM Transactions on Programming Languages and Systems (TOPLAS), v. 15 n. 5,p. 795-825,Nov. 1993 doi:10. 1145/161468. 161471].
  2. Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  3. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  4. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  5. Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398. , University of Washington.
  6. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  7. Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  8. Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  9. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender, Ed. ACM Press Frontier Series. ACM, New York, NY, 19-33. DOI= http://doi. acm. org/10. 1145/90417. 90738.
Index Terms

Computer Science
Information Sciences

Keywords

Monitoring systems Video compression (CRR) Compression Reduction Ratio.

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