wyner-ziv coding of motion video
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 PresentationTRANSCRIPT
Wyner-Ziv Coding of Motion VideoPresented by fakewen
Author
Ann Aaron Bernd GirodRui 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 2M levels to quantize the pixels of X2i .
• 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
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
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 Coding16-level quantization (~1 bpp)
Sample Frame
Side information SMV Interpolation
After Wyner-Ziv Coding16-level quantization (~1 bpp)
Sample Frame
Side information Average Interpolation
After Wyner-Ziv Coding16-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)
The end
• Thank you!