TY - GEN
T1 - VLSI architecture for very high resolution scalable video coding using the virtual zerotree
AU - Ang, Li minn
AU - Cheung, Hon Nin
AU - Eshraghian, Kamran
PY - 1999/12/1
Y1 - 1999/12/1
N2 - In this paper, we present a hardware architecture for very high resolution (VHR) scalable video coding using the virtual zerotree (VZT) algorithm, a variant of the embedded zerotree wavelet (EZW) algorithm. The VZT architecture is regular and modular and is suitable for VLSI implementation. The output of the architecture is a data stream containing the virtual map, significance map and successive-approximation quantization symbols of the VZT algorithm. The approach is based on an efficient scheme to determine ancestor-descendant relationships in the wavelet coefficient data stream by rearrangement of the data stream for simpler VLSI implementation. The approach uses the sign-magnitude binary representation of the rearranged wavelet coefficients to form a single bit data stream as the input into the architecture. The coding and quantization for the VZT algorithm are formulated in view of the single bit data stream input and the corresponding VLSI architecture to implement the formulated requirements is presented.
AB - In this paper, we present a hardware architecture for very high resolution (VHR) scalable video coding using the virtual zerotree (VZT) algorithm, a variant of the embedded zerotree wavelet (EZW) algorithm. The VZT architecture is regular and modular and is suitable for VLSI implementation. The output of the architecture is a data stream containing the virtual map, significance map and successive-approximation quantization symbols of the VZT algorithm. The approach is based on an efficient scheme to determine ancestor-descendant relationships in the wavelet coefficient data stream by rearrangement of the data stream for simpler VLSI implementation. The approach uses the sign-magnitude binary representation of the rearranged wavelet coefficients to form a single bit data stream as the input into the architecture. The coding and quantization for the VZT algorithm are formulated in view of the single bit data stream input and the corresponding VLSI architecture to implement the formulated requirements is presented.
UR - http://www.scopus.com/inward/record.url?scp=0033307554&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033307554&partnerID=8YFLogxK
M3 - Conference paper
AN - SCOPUS:0033307554
T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
SP - 131
EP - 140
BT - IEEE Workshop on Signal Processing Systems
T2 - 1999 IEEE Workshop on SiGNAL Processing Systems (SiPS 99): 'Design and Implementation'
Y2 - 20 October 1999 through 22 October 1999
ER -