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Wyner-Ziv Coding of Motion Video

Wyner-Ziv Coding of Motion Video. Presented by fakewen. Author. Bernd Girod. Ann Aaron. Rui   Zhang. outline. Introduction Wyner-Ziv Video Codec Quantization RCPT-based Slepian -Wolf Coder Side Information and Statistical Model Reconstruction Function Results Conclusion.

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Wyner-Ziv Coding of Motion Video

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  1. Wyner-Ziv Coding of Motion Video Presented by fakewen

  2. Author Bernd Girod Ann Aaron Rui  Zhang

  3. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  4. introduction

  5. Wyner-Ziv Video Codec

  6. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  7. Quantization • uniform scalar quantizer with 2M levels to quantize the pixels of X2i . • Each quantizer bin is assigned a unique symbol.

  8. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  9. Even frame X RCPT-Based Slepian-Wolf Codec Slepian-Wolf Codec Decoded quantized symbols Turbo Decoder Turbo Encoder Scalar Quantizer Buffer Y2i Request bits Y • Uniform scalar quantizer • RCPT Slepian-Wolf Codec • Flexibility for varying statistics • Embedded puncturing pattern • Bit rate controlled by decoder through feedback

  10. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  11. Side Information and Statistical Model • = • Average Interpolation. • motion compensated (MC) interpolation • symmetric motion vectors (SMV Interpolation)

  12. Side Information and Statistical Model(cont.) • pixel from the current frame • Side information • Laplacian random variable.

  13. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  14. Reconstruction Function

  15. outline • Introduction • Wyner-Ziv Video Codec • Quantization • RCPT-based Slepian-Wolf Coder • Side Information and Statistical Model • Reconstruction Function • Results • Conclusion

  16. 8 dB 2 dB 6 dB Carphone Sequence

  17. 7 dB 4 dB 7 dB Foreman Sequence

  18. Foreman sequence After Wyner-Ziv Coding Side information SMV Interpolation 16-level quantization (~1 bpp)

  19. Sample Frame After Wyner-Ziv Coding Side information SMV Interpolation 16-level quantization (~1 bpp)

  20. Sample Frame After Wyner-Ziv Coding Side information Average Interpolation 16-level quantization (~1 bpp)

  21. Carphone sequence Wyner-Ziv Codec SMV Interpolation 384 kbps H263+ Intraframe Coding 410 kbps

  22. Conclusion • Use Wyner-Ziv coding for practical compression application • Used statistics of the source • New video system • Intraframe encoder – Interframe Decoder • Compared to H263+ • 2 to 7 dB better than Intraframe coding(i-i-i-i) • 5 to 8 dB worse than Interframe coding with MC(i-b-i-b)

  23. The end • Thank you!

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