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A New Side Information Generation Scheme for Distributed Video Coding

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Advances in Multimedia Information Processing - PCM 2008 (PCM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

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Abstract

In this paper, a new side information generation scheme for distributed video coding (DVC) is proposed. The proposed scheme uses classification-based motion estimation and multiple block motion interpolation to generate the side information. Here, classification-based motion estimation tries to find the “true” motion vector of each block, instead of exploiting the highest temporal redundancy between two corresponding blocks in two key frames. Then, multiple block motion interpolation using several motion vectors for each block is performed so that the corresponding matched block in the side information can be interpolated more efficiently. Based on the simulation results obtained in this study, the proposed scheme successfully improves the perceptual quality and the average PSNR (dB) in both side information and reconstructed frames.

This work was supported in part by National Science Council and Ministry of Economic Affairs, Taiwan, Republic of China under Grants NSC 95-2221-E-194-020-MY3 and 96-EC-17-A-02-S1-032.

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References

  1. Aaron, A., Zhang, R., Girod, B.: Wyner–Ziv coding of motion video. In: Proceedings of the Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, pp. 240–244 (2002)

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  2. Girod, B., Aaron, A., Rane, S., Rebollo-Monedero, D.: Distributed video coding. Proceedings of the IEEE 93, 71–83 (2005)

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© 2008 Springer-Verlag Berlin Heidelberg

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Cheng, MH., Leou, JJ. (2008). A New Side Information Generation Scheme for Distributed Video Coding. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_81

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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