• DocumentCode
    1658716
  • Title

    Enhanced inter-prediction using Merge Prediction Transformation in the HEVC codec

  • Author

    Blasi, Saverio G. ; Peixoto, E. ; Izquierdo, Ebroul

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
  • fYear
    2013
  • Firstpage
    1709
  • Lastpage
    1713
  • Abstract
    Merge prediction is a novel technique introduced in the HEVC standard to improve inter-prediction exploiting redundancy of themotion information. We propose in this paper a new approach to enhance the Merge mode in a typical HEVC encoder using parametric transformations of the Merge prediction candidates. An Enhanced Inter-Prediction module is implemented in HEVC using Merge Prediction Transformation (MPT), integrated with the HEVC new features such as the large coding units (CU) and the recursive prediction unit partitioning. The MPT parameters are quantised according to the CU depth and the current QP. The optimal quantization steps are derived via statistical analysis as illustrated in the paper. Results show consistent improvements over conventional HEVC encoding in terms of rate-distortion performance, with a small impact on the encoding complexity and negligible impact on the decoding complexity.
  • Keywords
    decoding; image enhancement; image motion analysis; prediction theory; rate distortion theory; statistical analysis; video codecs; video coding; CU depth; HEVC codec; MPT; QP; coding unit depth; decoding complexity; encoding complexity; enhanced interprediction module; high efficiency video coding; merge prediction transformation; motion information; optimal quantization; parametric transformation; rate-distortion performance; recursive prediction unit partitioning; statistical analysis; Accuracy; Complexity theory; Encoding; Indexes; Quantization (signal); Standards; Video coding; HEVC; Inter-prediction; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637944
  • Filename
    6637944