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At the encoder side, each video frame is independently measured by block-based random matrix, and the resulting measurements are encoded into compressed bitstream by entropy coding. Specifically, to reduce the quantization errors of measurements, a nonuniform quantization is integrated into the DPCM-based quantizer. At the decoder side, a novel joint reconstruction algorithm is proposed to improve the quality of reconstructed video frames. Firstly, the proposed algorithm uses the temporal autoregressive (AR) model to generate the Side Information (SI) of video frame, and next it recovers the residual between the original frame and the corresponding SI. To exploit the sparse property of residual with locally varying statistics, the Principle Component Analysis (PCA) is used to learn online the transform matrix adapting to residual structures. Extensive experiments validate that the joint reconstruction algorithm in the proposed codec achieves much better results than many existing methods with consideration of the reconstructed quality and the computational complexity. The rate-distortion performance of the proposed codec is superior to the state-of-the-art CS-based video codec, although there is still a considerable gap between it and traditional video codec. <\/jats:p>","DOI":"10.1155\/2015\/562840","type":"journal-article","created":{"date-parts":[[2015,8,31]],"date-time":"2015-08-31T21:49:58Z","timestamp":1441057798000},"page":"562840","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Compressive-Sensing-Based Video Codec by Autoregressive Prediction and Adaptive Residual Recovery"],"prefix":"10.1177","volume":"11","author":[{"given":"Ran","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4839-6054","authenticated-orcid":false,"given":"Hongbing","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanling","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,8,31]]},"reference":[{"key":"B1-2015-562840","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2006.1657820"},{"key":"B3-2015-562840","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2012.2221191"},{"key":"B4-2015-562840","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2004.839619"},{"first-page":"1103","volume-title":"Proceedings of the Picture Coding Symposium (PCS \u203207)","author":"Artigas X.","key":"B5-2015-562840"},{"key":"B6-2015-562840","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5414429"},{"first-page":"1193","volume-title":"Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ASILOMAR \u203211)","author":"Chen C.","key":"B7-2015-562840"},{"key":"B8-2015-562840","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.4286571"},{"first-page":"1","volume-title":"Proceedings of the 16th International Conference on Clouds and Precipitation (ICCP \u203212)","author":"Sankaranarayanan A. 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