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In data compression, vector quantization is a quantization technique often used in lossy data compression in which the basic idea is to code or replace with a key, values from a multidimensional vector space into values from a discrete subspace of lower dimension.
Explanation The lower-space vector requires less storage space and the data is thus compressed. The transformation into the subspace is usually achieved through projection, or by using a codebook. In some cases, a codebook implementation can be also used to entropy code the discrete value in the same step by generating a prefix coded variable-length encoded value as its output. Twin vector quantization (VQF) is part of the MPEG-4 standard dealing with time domain weighted interleaved vector quantization. Video codecs based on vector quantization Audio codecs based on vector quantization See also Part of this article was originally based on material from the Free On-line Dictionary of Computing and is used with under the GFDL. | ||||||||
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