• DocumentCode
    1579887
  • Title

    A study on CODEC quality metric in video compression techniques

  • Author

    Arrivukannamma, M. ; Sathiaseelan, J.G.R.

  • Author_Institution
    Dept. of Comput. Sci., Bishop Heber Coll. (Autonomous), Tiruchirappalli, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Video compression is the contemporary coding techniques to reduce redundancy in raw video. This paper addresses the various visual quality metrics, in the digital image processing such as PSNR, MSE, and VQM. The encoder is used to convert the source data into compressed bytes. The decoder decodes the compression form into its original video sequence. Data compression is achieved by removing redundancy of video data. Video compression is a combination of spatial image compression and temporal Motion Compensation (MC). Both the compressions are vulnerable to redundant sequence. Lossy compression is based on the principle of removing subjective redundancy. Lossless compression is based on effective SR. The Video Quality Metric is used in the measurement of video sequences. The encoder and decoder pair is named by CODEC.
  • Keywords
    data compression; decoding; image sequences; motion compensation; redundancy; video codecs; video coding; CODEC quality metric; contemporary coding technique; data compression; decoder; digital image processing; lossless compression; lossy compression; spatial image compression; temporal MC; temporal motion compensation; video compression technique; video redundancy reduction; video sequence; visual quality metric; Bit rate; Image coding; Streaming media; Video coding; Video compression; Video sequences; enCOder/DECoder; hybrid video codec; mean square error; peak signal noise ratio; statistical redundancy; video quality metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7193121
  • Filename
    7193121