Scalable Video Coding Using Compressive Sensing

Authors:
Hong Jiang;Chengbo Li;Raziel Haimi-Cohen;Paul A. Wilford;Yin Zhang
Affiliations:
Alcatel-Lucent Bell Labs, Murray Hill, New Jersey;Technology-Seismic Technology Organization, ConocoPhillips, Houston, Texas;Video Packet Network Department, Alcatel-Lucent Bell Labs, Murray Hill, New Jersey;Video and Mobile Packet Networking Research Department, Alcatel-Lucent Bell Labs, Murray Hill, New Jersey;Department of Computational and Applied Mathematics, Rice University, Houston, Texas
Venue:
Bell Labs Technical Journal
Year:
2012

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Abstract

Video coding using compressive video sensing exhibits many characteristics that are desirable for transmission in a video network. In particular, the coded video is inherently scalable with channel capacity, decoding complexity, display resolution, and quality. In this paper, we present compressive video sensing methods and demonstrate video scalability with such properties as graceful degradation, multi-resolution decoding.© 2012 Alcatel-Lucent. © 2012 Wiley Periodicals, Inc.