LOSSLESS SPATIAL FEATURE DESCRIPTOR COMPRESSION

Patent №

US 9,799,130

Granted

2017-10-24

Filed 2015

Owner

GOOGLE INC.

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14924376

A computer-implemented method includes receiving a spatial feature descriptor representing a binary string of comparison results between specified pairings of N patches in a region of an image, N being an integer greater than one. The method further includes compressing the spatial feature descriptor by determining a minimum number of bits needed to represent N, and generating a sorted array representing a ranking of the N patches based on the binary string of comparison results. Each element of the sorted array is associated with a corresponding patch of the N patches and stores a value representing a ranking of the patch relative to the other N−1 patches and coded using the minimum number of bits needed to represent N. The sorted array may be further compressed using a progressive bit representation decimation process.

VisionAI hardwareG06T 11/26H04N 19/42H04N 19/593H04N 19/90

AI classification

Vision1.00
AI hardware1.00
Knowledge representation0.01
Natural language0.00
Machine learning0.00
Planning0.00
Evolutionary computation0.00
Speech0.00

Ownership

GOOGLE INC.

assignment · 368960806

Assignors

KAPSENBERG, PIETER

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

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