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Multiresolution, perceptual and vector quantization based video codec

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Abstract

This paper presents a novel Multiresolution, Perceptual and Vector Quantization (MPVQ) based video coding scheme. In the intra-frame mode of operation, a wavelet transform is applied to the input frame and decorrelates it into its frequency subbands. The coefficients in each detail subband are pixel quantized using a uniform quantization factor divided by the perceptual weighting factor of that subband. The quantized coefficients are finally coded using a quadtree-coding algorithm. Perceptual weights are specifically calculated for the centre of each detail subband. In the inter-frame mode of operation, a Displaced Frame Difference (DFD) is first generated using an overlapped block motion estimation/compensation technique. A wavelet transform is then applied on the DFD and converts it into its frequency subbands. The detail subbands are finally vector quantized using an Adaptive Vector Quantization (AVQ) scheme. To evaluate the performance of the proposed codec, the proposed codec and the adaptive subband vector quantization coding scheme (ASVQ), which has been shown to outperform H.263 at all bitrates, were applied to six test sequences. Experimental results indicate that the proposed codec outperforms the ASVQ subjectively and objectively at all bit rates.

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Authors and Affiliations

  1. Faculty of Computing, Engineering and Technology, Staffordshire University, Octagon, Beacon side, Stafford, ST18 0AD, UK

    Akbar Sheikh Akbari

  2. Department of Engineering, Faculty of Technology, De Montfort University, Queens Building, The Gateway, Leicester, LE1 9BH, UK

    Pooneh Bagheri Zadeh

  3. Division of Communications, Networking and Electronics Engineering, School of Engineering & Computing, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow, G4 0BA, UK

    Tom Buggy

  4. Institute of Communications and Signal Processing, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, UK, G1 1XW

    John Soraghan

Authors
  1. Akbar Sheikh Akbari
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  2. Pooneh Bagheri Zadeh
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  3. Tom Buggy
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  4. John Soraghan
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Correspondence to Akbar Sheikh Akbari.

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Sheikh Akbari, A., Bagheri Zadeh, P., Buggy, T. et al. Multiresolution, perceptual and vector quantization based video codec. Multimed Tools Appl 58, 569–583 (2012). https://doi.org/10.1007/s11042-011-0752-y

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  • DOI: https://doi.org/10.1007/s11042-011-0752-y

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