• DocumentCode
    1980437
  • Title

    Video quality estimation for packet loss based on No-Reference method

  • Author

    Han, Junghyun ; Kim, Yo-Han ; Jeong, Jangkeun ; Shin, Jitae

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • Volume
    1
  • fYear
    2010
  • fDate
    7-10 Feb. 2010
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    Objective video-quality assessment can be divided into Full Reference (FR), Reduced Reference (RR), and No Reference (NR) methods. Among them NR quality assessment method does not require original video sequence, so it is suitable for the real-time video streaming service. This paper presents an NR-based estimation of mean square error (MSE) for video quality degradation due to various pattern packet losses in packet video network environment. Our proposed algorithm predicts initial error due to packet loss in each frame by using motion information of received data. Proposed method shows high Pearson correlation (more than 95%) to match actual MSE.
  • Keywords
    correlation methods; image motion analysis; mean square error methods; video signal processing; video streaming; NR quality assessment method; NR-based estimation; full reference method; high Pearson correlation; mean square error; no-reference method; packet video network environment; pattern packet losses; reduced reference method; video quality degradation; video quality estimation; video streaming service; Codecs; Degradation; Internet; Mean square error methods; Motion estimation; Prediction algorithms; Quality assessment; Streaming media; Video compression; Video sequences; Mean Square Error (MSE); Motion Vector; No-Reference; Packet Loss; Video Quality Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2010 The 12th International Conference on
  • Conference_Location
    Phoenix Park
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4244-5427-3
  • Type

    conf

  • Filename
    5440432