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A Cross-Resolution Leaky Prediction Scheme for In-Band Wavelet Video Coding with Spatial Scalability

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Advances in Multimedia Information Processing - PCM 2005 (PCM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3767))

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Abstract

In in-band wavelet video coding schemes, motion prediction is applied in the spatial subband domain. Compared to motion prediction in full-resolution image domain, in-band schemes suffer coding performance loss at full resolution. One reason is that signals of the subband at low resolution are predicted from the reference frames at low resolution, which has comparatively low quality. However, if signals of the subband at high resolution are involved in the prediction of signals at low resolution, mismatch will occur in decoding low-resolution video when the corresponding signals of high resolution are not available at the decoder. This paper first analyzes the mismatch error propagation when low-resolution video is decoded. Then based on the analysis we propose a frame-based cross-resolution leaky prediction scheme for in-band wavelet video coding to make a good trade-off between reducing mismatch error of low resolution and improving coding performance of high resolution. Experimental results show that, the proposed scheme can dramatically reduce the mismatch error by about 0.3~2.5dB at different bit rates for the low resolution, while for the high resolution, the performance loss is marginal.

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Zhang, D., Xu, J., Wu, F., Zhang, W., Xiong, H. (2005). A Cross-Resolution Leaky Prediction Scheme for In-Band Wavelet Video Coding with Spatial Scalability. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_14

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  • DOI: https://doi.org/10.1007/11581772_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30027-4

  • Online ISBN: 978-3-540-32130-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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