Title :
FPGA implementation of the LRU algorithm for video compression
Author :
Fatemi, O. ; Idris, F. ; Panchanathan, S.
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
fDate :
8/1/1994 12:00:00 AM
Abstract :
Cache based vector quantization algorithms (CVQ) have been shown to be efficient in constant quality and fixed bit rate video transmission applications. However, real time implementation of CVQ requires an efficient implementation of a stack replacement policy such as the least recently used (LRU) algorithm. The authors present an FPGA implementation of the LRU algorithm in CVQ for video compression
Keywords :
buffer storage; computational complexity; digital signal processing chips; image coding; logic arrays; memory architecture; vector quantisation; video signals; CVQ; FPGA implementation; LRU algorithm; cache based vector quantization algorithms; least recently used algorithm; stack replacement policy; video compression; Bit rate; Books; Clustering algorithms; Computational complexity; Computer architecture; Field programmable gate arrays; Image coding; Transform coding; Vector quantization; Video compression;
Journal_Title :
Consumer Electronics, IEEE Transactions on
