Perceptual-based compressed video sensing

• Elsayed Sawsan

  Kyushu University School of Electronics, Communications, and Computing, Egypt-Japan University of Science and Technology

• Elsabrouty Maha

  School of Electronics, Communications, and Computing, Egypt-Japan University of Science and Technology

• Muta Osamu

  Kyushu University

• Furukawa Hiroshi

  Kyushu University

Abstract

The recently introduced compressed sensing (CS) theory can, potentially, simplify the acquisition process of resource-limited devices by taking advantage of signal sparsity. This paper proposes a perceptual-based compressed video sensing (CVS) strategy that benefits from the human visual perception properties. Two frameworks are proposed, namely, Intra-perc-CVS and Inter-perc-CVS. In both frameworks, an efficient perceptual-based weighting strategy is applied for acquisition and recovery. In the Intra-perc-CVS scheme, video frames are acquired and recovered separately, while in the Inter-perc-CVS scheme, the frames are recovered jointly to further exploit inter-frame correlation. The proposed perceptual-based frameworks show remarkable performance improvement over the standard CVS.

Journal

• IEICE Communications Express

  IEICE Communications Express 4 (8), 251-257, 2015

  The Institute of Electronics, Information and Communication Engineers

Keywords

• compressed sensing
• video coding
• perceptual weighting

Details

• CRID: 1390001205416535552
• NII Article ID: 130005093463
• DOI: 10.1587/comex.4.251
• ISSN: 21870136
• Web Site: https://www.jstage.jst.go.jp/article/comex/4/8/4_251/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed