• DocumentCode
    2535732
  • Title

    Compression of VQM features for low bit-rate video quality monitoring

  • Author

    Makar, Mina ; Lin, Yao-Chung ; De Araujo, Andre F. ; Girod, Bernd

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., Stanford, CA, USA
  • fYear
    2011
  • fDate
    17-19 Oct. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Reduced reference video quality assessment techniques provide a practical and convenient way of evaluating the quality of a processed video. In this paper, we propose a method to efficiently compress standardized VQM (Video Quality Model) [1] features to bit-rates that are small relative to the transmitted video. This is achieved through two stages of compression. In the first stage, we remove the redundancy in the features by only transmitting the necessary original video features at the lowest acceptable resolution for the calculation of the final VQM value. The second stage involves using the features of the processed video at the receiver as side-information for efficient entropy coding and reconstruction of the original video features. Experimental results demonstrate that our approach achieves high compression ratios of more than 30× with small error in the final VQM values.
  • Keywords
    entropy codes; video coding; VQM features; entropy coding; low bit-rate video quality monitoring; video quality model; Decoding; Encoding; Feature extraction; Quantization; Receivers; Training; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1432-0
  • Electronic_ISBN
    978-1-4577-1433-7
  • Type

    conf

  • DOI
    10.1109/MMSP.2011.6093809
  • Filename
    6093809