Scalable multiple description coding based on bitplane and lagrangian rate allocation

Scalable video coding is applied to meet the heterogeneity of networks, fluctuation of bandwidth, and diversity of end users. But if the base layer is damaged or missed, the scalable video coding will no longer be effective. To address this problem, a scalable multiple description of video is proposed based on the bit plane and rate allocation of scalable wavelet video coding in an error-prone transmission environment. After spatiotemporal transformation, three-dimensional bit planes of the wavelet frame are sampled in odd and even order except the most significant bit to generate multiple descriptions, which are encoded into scalable video streaming by using entropy coding and Lagragian rate allocation. Combined with multiple path transport, the performance of proposed scalable multiple description coding is demonstrated in Ns2.