• DocumentCode
    557657
  • Title

    Image database encoding using HYBRID video encoder

  • Author

    Xiao, Jimin ; Tillo, Tammam ; Zhang, Xuan

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    625
  • Lastpage
    628
  • Abstract
    How to compress a set of images in an efficient way is one of the most popular research topics. Currently, one of the most preferred standards for compressing still images is JPEG2000 which mainly utilizes Discrete Wavelet Transformation. The video compression standard AVC/H.264, however, can also be applied to compress a set of still images. It has been proved that H.264 Intra Mode has similar or even better compression performance than JPEG2000 in terms of PSNR. This paper proposes an innovative approach that mainly depends Inter Prediction Mode of H.264, to compress a set of still images. Considering different compression performances for different image sequences, this paper also proposes an algorithm to determine the optimal sequence of images that helps Inter Prediction Mode to gain better performance. Experimental results reveal that H.264 Inter Prediction Mode outperforms JPEG2000 in terms of PSNR. The gain of H.264 can be further enhanced when the sequence of images is rearranged according to the images sequencing algorithm proposed in this paper.
  • Keywords
    data compression; discrete wavelet transforms; image sequences; video coding; visual databases; AVC-H.264; H.264 interprediction mode; HYBRID video encoder; JPEG2000; discrete wavelet transformation; image compression; image database encoding; image sequence algorithm; video compression standard; Correlation; Encoding; Image coding; Image sequences; PSNR; Prediction algorithms; Transform coding; H.264/AVC; Image sequence; Inter Prediction Mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100260
  • Filename
    6100260