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:
May. 07, 2019

Filed:

Aug. 24, 2016
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Xiao Liu, Beijing, CN;

Tian Xia, Beijing, CN;

Jiang Wang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/72 (2006.01); G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/726 (2013.01); G06K 9/00624 (2013.01); G06K 9/6267 (2013.01); G06K 9/6269 (2013.01); G06K 9/66 (2013.01);
Abstract

The present application discloses a method and apparatus for obtaining a semantic label of a digital image. An implementation of the method includes: obtaining the digital image; looking up a semantic label model corresponding to the digital image, the semantic label model being used for representing correlation between digital images and semantic labels, and a semantic label being used for literally describing a digital image; and introducing the digital image into the semantic label model to obtain full-image recognition information and local recognition information corresponding to the digital image, and combining the full-image recognition information and the local recognition information to form a semantic label, the full-image recognition information being a summarized description of the digital image, and the local recognition information being a detailed description of the digital image. According to the implementation, the digital image is obtained first, then a semantic label model corresponding to the digital image is looked up, and a semantic label is obtained by using the semantic label model, which may improve the accuracy of obtaining the semantic label corresponding to the digital image.


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