Error Concealment For Fine Granularity Scalable Video Transmission Hua Cai; Guobin Shen; Feng Wu; Shipeng Li; Bing Zeng; Multimedia and Expo, Proceedings IEEE International Conference on

Outline Introduction Temporal and Spatial Correlations Proposed Error Concealment Method Interleaving MBS Experimental Result Conclusion

Introduction Bandwidth fluctuation  Network heterogeneity  Competitions among traffic  Fine Granularity scalability (FGS) coding scheme Transmission Error  Error Resilience FEC, Data partition, Resynchronization mark  Error Concealment (EC)

Introduction (cont.) Error Concealment  To be implemented at the decoder side  Enhancement layer packets Contaminated regions

FGS encoded bitstream Two Bitstream  Base layer and Enhance layer Bits B (f) = E 。 Q B {DCT[O(f) – MC(R B (f-1))]} Bits E (f) = E 。 Q E {DCT[O(f) – R B (f)]}

Temporal Correlation Temporal correlation exists in the FGS bitstream R B (f)  R B (f-1) + DCT -1 {Q[Enh(f-1)]} if O(f) = O(f-1) O(f) = R B (f-1) + DCT -1 [Enh(f-1)] if O(f) = O(f-1)

Proposed Error Concealment Method Temporal correlation could be used to improve the quality of contaminated regions  is the interpolation ratio within the region [0,1] It reflect the intensity of the temporal correlation  Intra coded block,  approaches 1

Optimal Interpolation Ratio  0 For each 8x8 block, the optimal interpolation ratio  0 can be found by minimize the distortion between the origin and the interpolated one.

Optimal Interpolation Ratio  0 (cont.)

Spatial Correlation It is impossible to find  at the decoder side The spatial correlation could be used for predicting the contaminated regions’ temporal correlation 11 22 33 44 55 x1x1 x2x2 66 77 x3x3 x4x4 88 99  10  11  12

Spatial Correlation (cont.)

Interleaving MBS during Packetization The Packetizing order for QCIF sequence

Experimental Result

Experimental Result (cont.)

Conclusion This paper presents an efficient EC method for FGS video transmission. Temporal redundancy is used to improve the quality of the contaminated regions. The intensity of the temporal correlation is estimated exploiting the spatial correlation in the surrounding high-quality regions.