• DocumentCode
    554428
  • Title

    Optimization of motion estimation and integer transform and quantization in H.264

  • Author

    Xue Han ; Feng Li

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China
  • Volume
    3
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1256
  • Lastpage
    1259
  • Abstract
    H.264 is a new international video coding standard based on motion estimation, transform, quantization and entropy coding framework. H.264 adopts plentiful new technologies, which greatly improve coding efficiency but hugely adding complexity. This paper studies the H.264 which is the most popularly coding technology current in-depth, and analyzes the key technology of H.264. And then select the motion estimation and integer transform and quantization as the breakthrough point to improve and optimized the speed of encoding. Finally, through the data of experiment, under the premise of a satisfactory video quality, algorithm achieves the purpose of speed up the video encoding.
  • Keywords
    computational complexity; motion estimation; optimisation; video coding; H.264 quantization; complexity; entropy coding framework; integer transform; international video coding standard; motion estimation optimization; video encoding; video quality; Encoding; Motion estimation; Optimization; PSNR; Prediction algorithms; Quantization; Transforms; H.264; integer transform; motion estimation; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023278
  • Filename
    6023278