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Wireless FGS video transmission using adaptive mode selection and unequal error protection Jianhua Wu and Jianfei Cai Nanyang Technological University.

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Presentation on theme: "Wireless FGS video transmission using adaptive mode selection and unequal error protection Jianhua Wu and Jianfei Cai Nanyang Technological University."— Presentation transcript:

1 Wireless FGS video transmission using adaptive mode selection and unequal error protection Jianhua Wu and Jianfei Cai Nanyang Technological University Visual Communications and Image Processing 2004

2 Outline Introduction  MC-FGS  Unequal Error Protection Mode Adaptive FGS Architecture (MA-FGS) UEP for FGS End to End Distortion R-D Extraction of FGS coding Experimental Result Conclusion

3 Introduction Wireless video transmission becomes possible and has received more and more attention Huge data size of digital video and limited bandwidth of wireless channels Highly efficient video coding schemes and severe error environment Video coding rate can be adaptively adjusted

4 Introduction (cont.) Scalable video coding is a common approach for providing rate adaptation. The FGS enhancement layer bitstream can be truncated at any position There is no prediction in the FGS enhancement layer FGS is not fit the limited bandwidth of wireless networks

5 FGS - Improvement MC-FGS I B P B P Error Propagation occurs while losing the referenced enhancement layer

6 Unequal Error Protection Using Error control techniques (FEC etc.) to transmit FGS bitstream over packet loss channels This paper jointly consider mode selection and UDP for FGS video transmission over wireless channels  With prediction or without prediction

7 MA-FGS PSNR performance

8 MA-FGS: Structure Mode-Adaptive FGS Architecture

9 MA-FGS : Symbols

10 MA-FGS I-FGS: an FGS enhancement layer frame coded without prediction P-FGS: with prediction  Apply the motion vectors generated in the base layer

11 UEP for FGS k

12 Problem Formulation Let  {0,1} be the mode decision for FGS enhancement layer frame, where  = 0 means I-FGS while  = 1 means P-FGS  D =  D I + (1-  )D P Problem: Given a total bandwidth and channel symbol rate , how to choose  and l to minimize the distortion D = D s + D c

13 End to end Distortion Distortion of I-FGS

14 End to end Distortion (cont.) Distortion of P-FGS

15 End to end Distortion (cont.) Final formulation

16 R-D Extraction R-D Extraction of FGS Source Coding

17 Experimental Result Bitrate and PSNR

18 Experimental Result Error Rate and PSNR

19 Conclusion This paper proposed a MA-FGS system structure, and perform experiments to illustrate the effectiveness It has derived an overall end-to-end R-D function for the proposed system


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