html5-img
1 / 23

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.

ursula
Télécharger la présentation

Wyner-Ziv Coding of Motion Video

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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!

More Related