SYSTEM AND METHOD FOR REDUCED CODEBOOK VECTOR QUANTIZATION

Patent №

US 6,968,092

Granted

2005-11-22

Filed 2001

Owner

CISCO SYSTEMS CANADA CO.

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09934992

The present invention extends the generalized Lloyd algorithm (GLA) for vector quantizer (VQ) codebook improvement and codebook design to a new linearly-constrained generalized Lloyd algorithm (LCGLA). The LCGLA improves the quality of VQ codebooks, by forming the codebooks from linear combinations of a reduced set of base codevectors. The present invention enables a principled approach for compressing texture images in formats compatible with various industry standards. New, more flexible compressed texture image formats are also made possible with the present invention. The present invention enhances signal compression by improving traditional VQ approaches through the integrated application of linear constraints on the multiple pattern and signal prototypes that represent a single pattern or block of signal samples.

AI classification

Vision1.00
Machine learning1.00
AI hardware0.83
Planning0.05
Natural language0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00

Ownership

CISCO SYSTEMS CANADA CO.

assignment · 121140622

Assignors

WINGER, LOWELL

On an employer assignment, the assignors are typically the inventors.

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