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http://dx.doi.org/10.9723/jksiis.2018.23.6.047

Performance Improvement of Distributed Compressive Video Sensing Using Reliability Estimation  

Kim, Jin-soo (한밭대학교 정보통신공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.23, no.6, 2018 , pp. 47-58 More about this Journal
Abstract
Recently, remote sensing video applications have become increasingly important in many wireless networks. Distributed compressive video sensing (DCVS) framework in these applications has been studied to reduce encoding complexity and to simultaneously capture and compress video data. Specially, a motion compensated block compressed sensing with smoothed projected Landweber (MC-BCS-SPL) has been actively researched for one useful algorithm of DCVS schemes, However, conventional MC-BCS-SPL schemes do not provide good visual qualities in reconstructed Wyner-Ziv (WZ) frames. In this paper, the conventional schemes of MC-BCS-SPL are described and then upgraded to provide better visual qualities in WZ frames by introducing reliability estimate between adjacent key frames and by constructing efficiently motion-compensated interpolated frames. Through experimental results, it is shown that the proposed algorithm is effective in providing better visual qualities than conventional algorithm.
Keywords
Distributed Compressed Video Sensing; BCS-SPL; Reliability Estimate; MC-BCS-SPL;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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