Title :
Computational RAM implementation of an adaptive vector quantization algorithm for video compression
Author :
Le, T.M. ; Panchanathan, S.
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
fDate :
8/1/1995 12:00:00 AM
Abstract :
Vector quantization (VQ) is a promising technique for low-bit rate image and video compression. Adaptive VQ-based video compression algorithms have been reported in the literature. This paper proposes an adaptive codebook replenishment VQ algorithm using index-based motion estimation (AVQ+ME) for low-bit rate video compression. The proposed technique has been implemented on a computational* RAM (C*RAM) SIMD structure
Keywords :
adaptive signal processing; motion estimation; parallel architectures; random-access storage; vector quantisation; video coding; SIMD structure; adaptive VQ; adaptive codebook replenishment VQ algorithm; adaptive vector quantization algorithm; computational RAM; index-based motion estimation; low bit rate video compression; low-bit rate image compression; Bit rate; Encoding; Image coding; Image sequences; Laboratories; Motion estimation; Multimedia databases; Transform coding; Vector quantization; Video compression;
Journal_Title :
Consumer Electronics, IEEE Transactions on
