IDENTIFYING TEXTUAL TERMS IN RESPONSE TO A VISUAL QUERY

Patent №

US 8,935,246

Granted

2015-01-13

Filed 2012

Owner

GOOGLE INC.

AI components

5

ml · nlp · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13570162

A method, system, and computer readable storage medium is provided for identifying textual terms in response to a visual query is provided. A server system receives a visual query from a client system. The visual query is responded to as follows. A set of image feature values for the visual query is generated. The set of image feature values is mapped to a plurality of textual terms, including a weight for each of the textual terms in the plurality of textual terms. The textual terms are ranked in accordance with the weights of the textual terms. Then, in accordance with the ranking the textual terms, one or more of the ranked textual terms are sent to the client system.

AI classification

Natural language1.00
Machine learning1.00
Vision1.00
AI hardware0.89
Knowledge representation0.82
Evolutionary computation0.06
Speech0.00
Planning0.00

Ownership

GOOGLE INC.

assignment · 288790175

Assignors

BENGIO, SAMY, PETROU, DAVID

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

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