• DocumentCode
    3263992
  • Title

    An improved algorithm for video compression

  • Author

    Mihnea, Amalya ; Kalva, Hari

  • Author_Institution
    Dept. of Comput. & Electr. Eng. & Comput. Sci., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    The use of permutations in data compression is an aspect that is worthy of further exploration. The work that has been done in video compression based on permutations was primarily oriented toward lossless algorithms. The study of previous algorithms has led to a new algorithm that could be either lossless or lossy, for which the amount of compression and the quality of the output can be controlled. The lossless version of our algorithm performs close to lossy versions of H.264 and it improves on them for the majority of the videos that we analyzed. Our algorithm could be used in situations where there is a need for lossless compression and the video sequences are part of a single scene, e.g., medical videos, where loss of information could be risky or expensive.
  • Keywords
    data compression; video coding; H.264 video coding; lossless algorithm; lossy algorithm; permutation method; video compression; video quality; Bit rate; Decoding; Frequency modulation; PSNR; Prediction algorithms; Sorting; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2013
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4799-0292-7
  • Type

    conf

  • DOI
    10.1109/PCS.2013.6737676
  • Filename
    6737676