Masters Theses

A video compression algorithm for security applications

Author

M. Ryan Bales

Abstract

"High-security areas often include multiple locations that should have little traffic, such as critical corridors and points of access. Video monitoring such locations is desirable, but due to low activity, often results in wasted bandwidth as the same static scene is repeatedly transmitted. Such waste can preclude the use of video surveillance in low traffic situations since bandwidth is limited, and available bandwidth is reserved for high traffic environments. A real-time video compression scheme at the camera could reduce bandwidth consumption enough to make video surveillance feasible in all locations. In this thesis, an algorithm is presented which exploits features common to security settings and to real-time compression"--Abstract, page iii.

Advisor(s)

Watkins, Steve Eugene, 1960-

Committee Member(s)

Beetner, Daryl G.
Story, J. Greg

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Comments

Accompanying CD-ROM, available at Missouri S&T Library, contains "the MATLAB code for the compression algorithm as well as code for a stand-alone C++ executable. The algorithm was developed MATLAB R12. Also included are the original image sequences used in developing the algorithm, and the text file results from each simulation presented in this thesis", leaf 140.
System requirements: Windows ME or higher, Microsoft Excel, Adobe Acrobat, Windows Media Player, image viewer, MATLAB R12.

Publisher

University of Missouri--Rolla

Publication Date

Spring 2006

Pagination

xi, 144 pages

Rights

© 2006 Michael Ryan Bales, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Computer vision -- Mathematical modelsMPEG (Video coding standard)Security systemsVideo compression

Thesis Number

T 8973

Print OCLC #

85542378

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