IMAGE RELEVANCE BASED ON QUERY-SPECIFIC IMAGE QUALITY

Patent №

US 8,370,282

Granted

2013-02-05

Filed 2009

Owner

GOOGLE INC.

AI components

6

ml · nlp · vision · kr · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12507276

An image quality subsystem computes quality scores for images that represent a measure of visual quality of the images. Initial quality scores and query specific quality scores can be computed for the images based on image feature values for the images and a transformation factor that represents a measure of importance of image quality for computing relevance scores for images. The initial quality scores are query independent quality scores that are computed for the images and can be used as a factor for computing relevance scores for the image relative to any query. Query specific quality scores are computed for images that are identified as relevant for a particular query based on the initial quality scores and a query specific transformation factor for the particular query. Adjusted relevance scores for the images can be computed based on the initial quality scores or the query specific quality scores.

AI classification

Vision1.00
Natural language1.00
AI hardware0.99
Machine learning0.97
Evolutionary computation0.92
Knowledge representation0.65
Planning0.26
Speech0.00

Ownership

GOOGLE INC.

assignment · 231950131

Assignors

LEUNG, THOMAS, ROSENBERG, CHARLES

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

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