METHOD FOR REDUCING AN AMOUNT OF STORAGE REQUIRED FOR MAINTAINING LARGE-SCALE COLLECTION OF MULTIMEDIA DATA ELEMENTS BY UNSUPERVISED CLUSTERING OF MULTIMEDIA DATA ELEMENTS

Patent №

US 8,799,196

Granted

2014-08-05

Filed 2012

Owner

CORTICA LTD

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13731921

A method for reducing an amount of storage required for maintaining a large-scale collection of multimedia data elements by unsupervised clustering of multimedia data elements. The method comprises processing the multimedia data elements in the large-scale collection to generate a first cluster of multimedia data elements; storing the first cluster in a storage unit; repeating the generation of a new cluster from the first cluster and un-clustered multimedia elements in the large-scale collection until a single cluster is reached; and storing the new cluster generated at each iteration in the storage unit, wherein a N-th cluster generated at the N-th iteration is stored in the storage unit, wherein the amount of storage required to store the N-th cluster is less than an amount of storage of the large-scale collection, thereby the unsupervised clustering enables reducing the storage amount required to store the multimedia data elements in the large-scale collection.

Machine learningVisionAI hardwareG06F 16/41G06F 3/048G06F 3/0484G06F 3/0488G06F 16/14G06F 16/152G06F 16/172G06F 16/1748+84 more

AI classification

Vision1.00
Machine learning0.98
AI hardware0.88
Planning0.01
Natural language0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00

Ownership

CORTICA LTD

assignment · 479470206

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