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

2. Author Ann Aaron Bernd Girod 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 2 M levels to quantize the pixels of X 2i. 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. RCPT-Based Slepian-Wolf Codec Y 2i Scalar Quantizer Turbo Encoder Buffer Turbo Decoder Request bits Slepian-Wolf Codec Uniform scalar quantizer RCPT Slepian-Wolf Codec  Flexibility for varying statistics  Embedded puncturing pattern  Bit rate controlled by decoder through feedback Decoded quantized symbols Y Even frame X

10. RCPT-based Slepian-Wolf Coder rate compatible punctured turbo code

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

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

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

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

15. Reconstruction Function

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

20. Carphone Sequence 6 dB 2 dB 8 dB

21. Foreman Sequence 7 dB 4 dB 7 dB

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

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

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

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

26. 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) Further improvements –Exploit spatial correlation –Acceptable symbol error rate

27. 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)

28. The end Thank you!