Optimal bit allocation for biorthogonal wavelet coding
DCC '96 Proceedings of the Conference on Data Compression
A Block-Based Architecture for Lifting Scheme Discrete Wavelet Transform
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Motion-compensated 3-D subband coding of video
IEEE Transactions on Image Processing
Motion estimation using low-band-shift method for wavelet-based moving-picture coding
IEEE Transactions on Image Processing
Highly scalable video compression with scalable motion coding
IEEE Transactions on Image Processing
Bidirectional MC-EZBC with lifting implementation
IEEE Transactions on Circuits and Systems for Video Technology
Sender-adaptive and receiver-driven layered multicast for scalable video over the Internet
IEEE Transactions on Circuits and Systems for Video Technology
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Performing optimal bit-allocation with 3-D wavelet coding methods is difficult because energy is not conserved after applying the motion-compensated temporal filtering (MCTF) process and the spatial wavelet transform. The problem cannot be solved by extending the 2-D wavelet coefficients weighting method directly and then applying the result to 3-D wavelet coefficients, since this approach does not consider the complicated pixel connectivity that results from the lifting-based MCTF process. In this paper, we propose a novel weighting method, which takes account of the pixel connectivity, to solve the problem and derive the effect of the quantization error of a subband on the reconstruction error of a group of pictures. We employ the proposed method on a 2-D + t structure with different temporal filters, namely the 5-3 filter and the 9-7 filter. Experiments on various coding parameters and sequences show that the proposed approach improves the bit-allocation performance over that obtained by using the weightings derived without considering the pixel connectivity in the MCTF process.