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:
Sep. 17, 2019

Filed:

Jul. 11, 2017
Applicant:

Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA (US);

Inventors:

Chen Feng, Cambridge, MA (US);

Ming-Yu Liu, San Jose, CA (US);

Chieh-Chi Kao, Goleta, CA (US);

Teng-Yok Lee, Cambridge, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6231 (2013.01); G06K 9/4628 (2013.01); G06K 9/628 (2013.01); G06K 9/6255 (2013.01); G06K 9/6259 (2013.01); G06K 9/6262 (2013.01); G06K 9/6263 (2013.01); G06N 3/08 (2013.01); G06T 7/001 (2013.01); G06T 7/0004 (2013.01); G06T 2200/28 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20092 (2013.01); G06T 2207/30108 (2013.01); G06T 2207/30132 (2013.01);
Abstract

An image processing system includes a memory to store a classifier and a set of labeled images for training the classifier, wherein each labeled image is labeled as either a positive image that includes an object of a specific type or a negative image that does not include the object of the specific type, wherein the set of labeled images has a first ratio of the positive images to the negative images. The system includes an input interface to receive a set of input images, a processor to determine a second ratio of the positive images, to classify the input images into positive and negative images to produce a set of classified images, and to select a subset of the classified images having the second ratio of the positive images to the negative images, and an output interface to render the subset of the input images for labeling.


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