Wenfei Jiang
Huazhong University of Science and Technology, Wuhan, Hubei, China

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Publications (3)6.08 Total impact

  • Conference Proceeding: Two-Step Coding for High Definition Video Compression.
    Wenfei Jiang, Wenyu Liu, Longin Jan Latecki, Hui Liang, Changqing Wang, Bing Feng
    2010 Data Compression Conference (DCC 2010), 24-26 March 2010, Snowbird, UT, USA; 01/2010
  • Source
    Article: A video coding scheme based on joint spatiotemporal and adaptive prediction.
    Wenfei Jiang, Longin Jan Latecki, Wenyu Liu, Hui Liang, Ken Gorman
    [show abstract] [hide abstract]
    ABSTRACT: We propose a video coding scheme that departs from traditional Motion Estimation/DCT frameworks and instead uses Karhunen-Loeve Transform (KLT)/Joint Spatiotemporal Prediction framework. In particular, a novel approach that performs joint spatial and temporal prediction simultaneously is introduced. It bypasses the complex H.26x interframe techniques and it is less computationally intensive. Because of the advantage of the effective joint prediction and the image-dependent color space transformation (KLT), the proposed approach is demonstrated experimentally to consistently lead to improved video quality, and in many cases to better compression rates and improved computational speed.
    IEEE Transactions on Image Processing 06/2009; 18(5):1025-36. · 3.04 Impact Factor
  • Article: A Video Coding Scheme Based on Joint Spatiotemporal and Adaptive Prediction
    Wenfei Jiang, L.J. Latecki, Wenyu Liu, Hui Liang, K. Gorman
    [show abstract] [hide abstract]
    ABSTRACT: We propose a video coding scheme that departs from traditional motion estimation/DCT frameworks and instead uses Karhunen-Loeve transform (KLT)/Joint spatiotemporal prediction framework. In particular, a novel approach that performs joint spatial and temporal prediction simultaneously is introduced. It bypasses the complex H.26x interframe techniques and it is less computationally intensive. Because of the advantage of the effective joint prediction and the image-dependent color space transformation (KLT), the proposed approach is demonstrated experimentally to consistently lead to improved video quality, and in many cases to better compression rates and improved computational speed.
    IEEE Transactions on Image Processing 06/2009; · 3.04 Impact Factor

Institutions

  • 2009
    • Huazhong University of Science and Technology
      • Department of Electronics and Information Engineering
      Wuhan, Hubei, China
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