Patent US 7,725,484

Patent №

US 7,725,484

Granted

Owner

Lab

AI components

3

ml · vision · kr

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11602419

An image retrieval technique employing a novel hierarchical feature/descriptor vector quantizer tool—‘vocabulary tree’, of sorts comprising hierarchically organized sets of feature vectors—that effectively partitions feature space in a hierarchical manner, creating a quantized space that is mapped to integer encoding. The computerized implementation of the new technique(s) employs subroutine components, such as: A trainer component of the tool generates a hierarchical quantizer, Q, for application/use in novel image-insertion and image-query stages. The hierarchical quantizer, Q, tool is generated by running k-means on the feature (a/k/a descriptor) space, recursively, on each of a plurality of nodes of a resulting quantization level to ‘split’ each node of each resulting quantization level. Preferably, training of the hierarchical quantizer, Q, is performed in an ‘offline’ fashion.

Machine learningVisionKnowledge representationG06F 16/5838G06F 18/23213G06F 18/24323G06V 10/763G06V 20/35

AI classification

Vision1.00
Machine learning1.00
Knowledge representation0.96
AI hardware0.10
Speech0.00
Planning0.00
Evolutionary computation0.00
Natural language0.00
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