TR2012-071

Joint Perceptually-based Intra Prediction and Quantization for HEVC


    •  Jin, G.; Cohen, R.; Vetro, A.; Sun, H., "Joint Perceptually-based Intra Prediction and Quantization for HEVC", Asia-Pacific Signal & Information Processing Association Annual Summit and Conference, ISBN: 978-1-4673-4863-8, December 2012, pp. 1-10.
      BibTeX Download PDF
      • @inproceedings{Jin2012dec,
      • author = {Jin, G. and Cohen, R. and Vetro, A. and Sun, H.},
      • title = {Joint Perceptually-based Intra Prediction and Quantization for HEVC},
      • booktitle = {Asia-Pacific Signal & Information Processing Association Annual Summit and Conference},
      • year = 2012,
      • pages = {1--10},
      • month = dec,
      • isbn = {978-1-4673-4863-8},
      • url = {http://www.merl.com/publications/TR2012-071}
      • }
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  • Research Area:

    Digital Video


This paper proposes a new coding scheme which jointly applies perceptual quality metrics to prediction, quantization and rate-distortion optimization (RDO) within the High Efficiency Video Coding (HEVC) framework. A new prediction approach which uses template matching is introduced. The template matching uses a structural similarity metric (SSIM) and a Just-Noticeable Distortion (JND) model. The matched candidates are linearly filtered to generate a prediction. We also modify the JND model and use Supra-threshold Distortion (StD) as the distortion measurement in RDO. Experimental results showing improvements for coding textured areas are presented as well.