Wyner-Ziv Coding of Motion Video Presented by fakewen

Author Ann Aaron Bernd Girod Rui Zhang

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

introduction

Wyner-Ziv Video Codec

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

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

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

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

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

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

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

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

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

Reconstruction Function

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

Carphone Sequence 6 dB 2 dB 8 dB

Foreman Sequence 7 dB 4 dB 7 dB

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

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

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

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

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

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)

The end Thank you!