Wyner-Ziv Coding of Motion Video

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Wyner-Ziv Coding of Motion Video Presented by fakewen

description

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. - PowerPoint PPT Presentation

Transcript of Wyner-Ziv Coding of Motion Video

Page 1: Wyner-Ziv  Coding of  Motion Video

Wyner-Ziv Coding of Motion VideoPresented by fakewen

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Author

Ann Aaron Bernd GirodRui  Zhang

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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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introduction

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Wyner-Ziv Video Codec

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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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Quantization

• uniform scalar quantizer with 2M levels to quantize the pixels of X2i .

• Each quantizer bin is assigned a unique symbol.

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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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RCPT-Based Slepian-Wolf Codec

Y2iScalar

QuantizerTurbo

Encoder Buffer Turbo Decode

rRequest bits

Slepian-Wolf Codec

• Uniform scalar quantizer• RCPT Slepian-Wolf Codec

Flexibility for varying statisticsEmbedded puncturing patternBit rate controlled by decoder through feedback

Decoded quantizedsymbols

Y

Even frame

X

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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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Side Information and Statistical Model

• = • Average Interpolation.• motion compensated (MC) interpolation • symmetric motion vectors (SMV

Interpolation)

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Side Information and Statistical Model(cont.)

• pixel from the current frame• Side information • Laplacian random variable.

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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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Reconstruction Function

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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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Carphone Sequence

6 dB

2 dB

8 dB

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Foreman Sequence

7 dB

4 dB

7 dB

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Foreman sequence

Side information SMV Interpolation

After Wyner-Ziv Coding16-level quantization (~1 bpp)

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Sample Frame

Side information SMV Interpolation

After Wyner-Ziv Coding16-level quantization (~1 bpp)

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Sample Frame

Side information Average Interpolation

After Wyner-Ziv Coding16-level quantization (~1 bpp)

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Carphone sequence

H263+ Intraframe Coding 410 kbps

Wyner-Ziv Codec SMV Interpolation 384

kbps

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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)

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The end

• Thank you!