UNIVERSAL CODEBOOK VECTOR QUANTIZATION WITH CONSTRAINED STORAGE

Patent №

US 5,889,891

Granted

1999-03-30

Filed 1995

Owner

REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE

AI components

3

ml · vision · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08561251

Vectors associated with multiple sources are quantized with a codebook. A mapping function associates each source with a subset of codevectors in the codebook, each subset being defined prior to quantization. Each vector from a source is matched to a codevector in the subset corresponding to the source. The universal codebook is designed by first providing a codebook and a mapping function. Using the codebook, the mapping function is updated by identifying subsets that reduce distortion when vectors from a source are quantized using a corresponding subset.

AI classification

Evolutionary computation1.00
Machine learning0.90
Vision0.74
Planning0.22
AI hardware0.13
Knowledge representation0.03
Natural language0.01
Speech0.00

Ownership

REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE

assignment · 79100364

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