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http://dx.doi.org/10.6109/jkiice.2017.21.7.1355

An Effective MC-BCS-SPL Algorithm and Its Performance Comparison with Respect to Prediction Structuring Method  

Ryug, Joong-seon (Department of Multimedia Engineering, Hanbat National University)
Kim, Jin-soo (Department of Multimedia Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.7, 2017 , pp. 1355-1363 More about this Journal
Abstract
Recently, distributed compressed video sensing (DCVS) has been actively studied in order to achieve a low complexity video encoder by integrating both compressed sensing and distributed video coding characteristics. Conventionally, a motion compensated block compressed sensing with smoothed projected Landweber (MC-BCS-SPL) has been considered as an effective scheme of DCVS with all compressed sensing frames pursuing the simplest sampling. In this scheme, video frames are separately classified into key frames and WZ frames. However, when reconstructing WZ frame with conventional MC-BCS-SPL scheme at the decoder side, the visual qualities are poor for temporally active video sequences. In this paper, to overcome the drawbacks of the conventional scheme, an enhanced MC-BCS-SPL algorithm is proposed, which corrects the initial image with reference to the key frame using a high correlation between adjacent key frames. The proposed scheme is analyzed with respect to GOP (Group of Pictures) structuring method. Experimental results show that the proposed method performs better than conventional MC-BCS-SPL in rate-distortion.
Keywords
Compressive sensing; Distributed video coding; Distributed compressive video sensing;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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