The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 02, 2021

Filed:

Apr. 25, 2016
Applicant:

Baidu Usa, Llc, Sunnyvale, CA (US);

Inventors:

Haoyuan Gao, Beijing, CN;

Junhua Mao, Los Angeles, CA (US);

Jie Zhou, Beijing, CN;

Zhiheng Huang, Sunnyvale, CA (US);

Lei Wang, Beijing, CN;

Wei Xu, Saratoga, CA (US);

Assignee:

Baidu USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/56 (2020.01); G06N 3/04 (2006.01); G06N 5/04 (2006.01);
U.S. Cl.
CPC ...
G06F 40/56 (2020.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 5/04 (2013.01);
Abstract

Embodiments of a multimodal question answering (mQA) system are presented to answer a question about the content of an image. In embodiments, the model comprises four components: a Long Short-Term Memory (LSTM) component to extract the question representation; a Convolutional Neural Network (CNN) component to extract the visual representation; an LSTM component for storing the linguistic context in an answer, and a fusing component to combine the information from the first three components and generate the answer. A Freestyle Multilingual Image Question Answering (FM-IQA) dataset was constructed to train and evaluate embodiments of the mQA model. The quality of the generated answers of the mQA model on this dataset is evaluated by human judges through a Turing Test.


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