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The MPEG-4 Fine-Grained Scalable Video Coding Method for Multimedia Streaming Over IP

The MPEG-4 Fine-Grained Scalable Video Coding Method for Multimedia Streaming Over IP. Hayder Radha ,Mihaela van der Schaar and Yingwei Chen. IEEE TRANSACTIONS ON MULTIMEDIA, VOL.3, NO.1,MARCH 2001. Outline. Introduction SNR FGS Video Coding Method FGS Coding with Adaptive Quantization

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The MPEG-4 Fine-Grained Scalable Video Coding Method for Multimedia Streaming Over IP

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  1. The MPEG-4 Fine-Grained Scalable Video Coding Method for Multimedia Streaming Over IP Hayder Radha ,Mihaela van der Schaar and Yingwei Chen IEEE TRANSACTIONS ON MULTIMEDIA, VOL.3, NO.1,MARCH 2001

  2. Outline • Introduction • SNR FGS Video Coding Method • FGS Coding with Adaptive Quantization • Hybrid Temporal-SNR Scalability with an All FGS Structure • Conclusions

  3. Introduction • Video-Coding and Networking • Minimal real-time processing and rate control when large number of unicast • Highly adaptable to unpredictable bandwidth • Low-complexity decoding and low-memory requirements

  4. Introduction(2) • Able to support both multicast and unicast applications • Scalable bitstream must be resilient to packet loss events

  5. SNR FGS Video Coding [ Rmin = Rb, Rmax = Rb + Re ]

  6. SNR FGS Video Coding(2)

  7. SNR FGS Video Coding -encoder • Two encoders base layer->motion compensation enhancement layer->fine-granular • Each DCT FGS-residual frame consists of NBP bitplanes

  8. SNR FGS Video Coding -scanning order

  9. Architecture for the SNR FGS Video Coding -decoder

  10. SNR FGS Video Coding -performance • Compared with traditional SNR scalability video coding

  11. SNR FGS Video Coding -performance(2)

  12. SNR FGS Video Coding -performance(3)

  13. SNR FGS Video Coding -conclusions • FGS exploits temporal redundancy only at the base layer • FGS is good for high motion sequences such as “movie trailers”,certain commercials and news clips with high-action content

  14. SNR FGS Video Coding -conclusions • Base-layer could have a major impact on the overall performance of FGS • [R2,Rmax] could be significantly better than the average performance over the wider range[R1,Rmax]

  15. FGS Coding with Adaptive Quantization • FGS-based AQ is achieved through bitplane shifting • Selected macroblocks within an FGS enhancement layer frame • Selected coefficients within the 8 * 8 blocks

  16. Adaptive Quantization-Selective Enhancement

  17. Adaptive Quantization-frequency weighting

  18. Adaptive Quantization-combine SE with FW

  19. Adaptive Quantization-notice • SE : macroblock-by-macroblock basis • FW : use the same FW matrix • Selective enhancement is a relative operation • Up-shifting operation does not guarantee that a particular SE macroblock gets scanned earlier(MSB)

  20. Adaptive Quantization-evaluation • Not improve the rate-distortion performance ,but rather to improve the visual quality • SE can be used to enhance a particular region • FW can reduce some of blockiness, but may softening some of the sharp edges and other finedetails

  21. Adaptive Quantization-evaluation(2)

  22. Hybrid Temporal-SNR Scalability • Temporal scalability : Enhance the motion smoothness of compressed video • F = FBL + FEL • Provide the flexibility of choosing between temporal scalability and SNR scalability (Users’ performance and real-time bandwidth)

  23. all-FGS hybrid temporal-SNR scalability structure

  24. Architecture for the all-FGS hybrid temporal-SNR scalability encoder

  25. Architecture for the all-FGS hybrid temporal-SNR scalability decoder

  26. Performance Evaluation of the Hybrid FGS Scalability Method

  27. Performance Evaluation of the Hybrid FGS Scalability Method

  28. Conclusions • MPEG-4 FGS framework • Supporting unicast and multicast Internet video application • Adaptive quantization • Hybrid temporal-SNR scalability method

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