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ICASSP
2009
IEEE

A compressive sensing approach to object-based surveillance video coding

10 years 2 months ago
A compressive sensing approach to object-based surveillance video coding
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object error of a video frame is a sparse signal and CS, which aims to represent information of a sparse signal by random measurements, is considered for coding of object error. This work proposes several techniques using two approaches- direct CS and transform-based CS. The techniques are studied and analyzed by varying the different trade-off parameters such as the measurement index, quantization levels etc. Finally we recommend an optimal scheme for a range of bitrates. Experimental results with comparative bitrates-vs-PSNR graphs for the different techniques are presented1
Divya Venkatraman, Anamitra Makur
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Divya Venkatraman, Anamitra Makur
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