• DocumentCode
    3028519
  • Title

    Distributed video coding based on compressive sensing

  • Author

    Chaozhu, Zhang ; Jing, Leng

  • Author_Institution
    Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3046
  • Lastpage
    3049
  • Abstract
    Distributed video coding is under the requirements of simple coding and complex decoding as the rapid development of microelectronics, communication and computer technology. This paper presents a method to improve the system of distributed video coding. Compressive sensing theory and distributed video coding are combined to generate a new system named distributed video coding based on compressive sensing to reduce the system´s computational complexity and improve the compression efficiency, the process of encoder is a process of projecting the high-dimension signal to the low dimension space and the intra frame encoding at the same time, the decoder is solving owe qualitative equations and intra frame decoding simultaneously. Simulation results indicate that the proposed method can greatly reduce the sampling rate and the decoding complexity. The method can also get better quality video images of reconstruction.
  • Keywords
    computational complexity; data compression; decoding; image reconstruction; video coding; communication technology; complex decoding; compressive sensing theory; computational complexity; computer technology; decoding complexity; distributed video coding; high-dimension signal; intraframe decoding; intraframe encoding; microelectronics development; qualitative equation; quality video image reconstruction; sampling rate reduction; Compressed sensing; Decoding; Image coding; Image reconstruction; Streaming media; Transforms; Video coding; WZ video coding; compressive sensing; distributed video coding; reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001975
  • Filename
    6001975