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DVC bitstream reorganiser for mobile devices

DVC bitstream reorganiser for mobile devices. C.K. Kim , D.Y. Suh , J. Park , B. Jeon. DVC. bitstream reorganiser. Mobile-to-mobile video communications require both an encoder and a decoder to have low complexity.

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DVC bitstream reorganiser for mobile devices

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  1. DVC bitstreamreorganiser for mobile devices C.K. Kim , D.Y. Suh, J. Park , B. Jeon ha 強壯!

  2. DVC bitstreamreorganiser ha 強壯!

  3. Mobile-to-mobile video communications require both an encoder and a decoder to have low complexity. • High complexity at the DVC decoder side makes it difficult for resource-constrained mobile devices to perform decoding. ha 強壯!

  4. DVC bitstreamreorganiser estimates block-wise motion vectors and sends the motion information and the parity data required for decoding to the decoder ha 強壯!

  5. DVC encoder (block A) • DVC bitstreamreorganiser (block B) • DVC decoder (block C) ha 強壯!

  6. ha 強壯!

  7. Bitstreamreorganiser • Conventional DVC decoder • Parity amount estimator • Side information renovator ha 強壯!

  8. Block B • Side information renovator(ME) • Parity amount estimator ha 強壯!

  9. Side information renovator • Generates side information using decoded KEY and WZ pictures. • The decoded WZ pictures exploited here to generate side information enhance the quality of that information. ha 強壯!

  10. parity amount estimator • A precise estimation of the parity data required for decoding is possible after Slepian-Wolf decoding has been performed. ha 強壯!

  11. Block B (cont.) • Eventually, the estimated amount of parity bits and motion information obtained in the generation of side information are delivered to the DVC decoder at the target device. ha 強壯!

  12. Block C • The WZ picture decoder (block C 2 ) decoding is faster. ha 強壯!

  13. Block C(cont.) • This is because the decoded KEY pictures and motion information passed from the DVC bitstreamreorganiser (block B) enable it to generate the side information without performing motion estimation. ha 強壯!

  14. Block C(cont.) • Increasing the decoding speed • The side information generated at the DVC decoder (block C) is as good as the information generated in the side information renovator (block B 3 ) in terms of Quality ha 強壯!

  15. Block C(cont.) • The amount of parity bits required for Slepian-Wolf decoding is fed into the WZ picture decoder (block C 2 ) at this time. • The removal of iterative channel decoding contributes to reducing computational cost. ha 強壯!

  16. Simulation results ha 強壯!

  17. Conclusion • DVC bitstreamreorganiser which reduces decoder complexity so that decoder speed becomes 10 to 25times faster. • The DVC bitstreamreorganiser sends the motion information and parity bits required for DVC decoding to the decoder at the target device. ha 強壯!

  18. Survey • Mobile to Mobile Video Communication using DVC Framework with Channel Information Transmission ha 強壯!

  19. Heavy DVC decoding complexity ha 強壯!

  20. DVC to H.264 Trans-coding Approach • However it can have additional quality degradation coming from re-quantization ha 強壯!

  21. DVC bit-stream reorganization with motion vector • However, as motion vector information and parity length information increases, its RD performance can be degraded. ha 強壯!

  22. Proposed Scheme ha 強壯!

  23. Correlation Noise Modeling(CNM) • CNM1 estimates the Laplace distribution parameter for each block • It only uses already decoded key pictures • CNM2 also uses decoded Wyner-Ziv picture information • globally estimate it. Therefore, performance by CNM2 is limited • we selectively use CNM1 and CNM2 by considering the bit rate. ha 強壯!

  24. ha 強壯!

  25. EXPERIMENT RESULTS ha 強壯!

  26. DVC decoding complexity ha 強壯!

  27. ha 強壯!

  28. ha 強壯!

  29. Schedule • 9/14->10/14 • mobile to PC • 10/14->11/14 • Mobile to mobile ha 強壯!

  30. The end • Thank you ha 強壯!

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