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Parameter Selection of Robust Fine Granularity Scalable Video Coding over MPEG-4

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Advances in Image and Video Technology (PSIVT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4319))

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Abstract

In this paper, we propose an approach to automatically choose the α and β parameters in the RFGS coding scheme for the coding of video sequences. We first analyze the residuals after motion compensation with different parameter settings under various bit rates. We then investigate the relationship between the MSE gain and MSE loss for each bit-plane. With those models and relationships, we propose first an approach to automatically choose the sets of optimized parameters for a fixed bit rate. Then we propose an approach to deal with a range of bit rates. These two MSE-based approaches require only light computational loads.

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References

  1. Streaming Video Profile-Final Draft Amendment (FDAM 4), MPEG01/N3904

    Google Scholar 

  2. Li, W.: Overview of fine granularity scalability in mpeg-4 video standard. IEEE Trans. Circuits Syst. Video Technol. 11(3), 385–398 (2001)

    Google Scholar 

  3. Huang, H.-C., Wang, C.-N., Chiang, T.: A Robust Fine Granularity Scalability Using Trellis-Based Predictive Leak. IEEE Trans. On Circuits Syst. Video Technol. 12(6), 372–385

    Google Scholar 

  4. Kuo, L.C., Chiang, T., Wang, S.J.: An Adaptive Macro-Block Based Scheme for Temporal Prediction Control in Fine Granularity Scalability Coding. In: Conf., on WCE, Hsinchu, Taiwan, November 2004, pp. 7–13 (2004)

    Google Scholar 

  5. van der Schaar, M., Radha, H.: A hybrid temporal-SNR Granular Scalability for Internet Video. IEEE Trans. On Circuits Syst. Video Technol. 11(3), 318–331 (2001)

    Article  Google Scholar 

  6. Wu, F., Li, S., Zhang, Y.-W.: A framework for efficient progressive fine granularity scalable video coding. IEEE Trans. On Circuits Syst. Video Technol. 11(3), 332–344 (2001)

    Article  Google Scholar 

  7. van der Schaar, M., Radha, H.: Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia. In: Proceeding Multimedia Signal Processing, IEEE 4th Workshop, October 2001, pp. 453–458 (2001)

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  8. Chen, S.R., Chang, C.P., Lin, C.W.: MPEG-4 FGS coding performance improvement using inter-layer prediction. In: Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Montreal, Canada, May 2004, pp. 265–268 (2004)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, SY., Wang, SJ. (2006). Parameter Selection of Robust Fine Granularity Scalable Video Coding over MPEG-4. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_94

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  • DOI: https://doi.org/10.1007/11949534_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68297-4

  • Online ISBN: 978-3-540-68298-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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