US 12,277,745 B2
Image searching apparatus, classifier training method, and recording medium
Yoshihiro Teshima, Higashimurayama (JP)
Assigned to CASIO COMPUTER CO., LTD., Tokyo (JP)
Filed by CASIO COMPUTER CO., LTD., Tokyo (JP)
Filed on Jan. 6, 2022, as Appl. No. 17/569,598.
Application 17/569,598 is a division of application No. 16/741,795, filed on Jan. 14, 2020, granted, now 11,250,295.
Claims priority of application No. 2019-010257 (JP), filed on Jan. 24, 2019; and application No. 2019-217687 (JP), filed on Dec. 2, 2019.
Prior Publication US 2022/0129702 A1, Apr. 28, 2022
Int. Cl. G06V 10/44 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2023.01); G06V 10/46 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/454 (2022.01) [G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2013.01); G06V 10/464 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01)] 6 Claims
OG exemplary drawing
 
1. An image searching apparatus comprising:
a processor configured to perform image search by using a classifier, the classifier being trained through processes comprising:
acquiring an image to which identification information of a subject included in the image is attached as a first correct label, the image being included in an image dataset for training and being an image for use in supervised training;
attaching, to the image acquired in the acquiring, classification information based on a feature amount of the image as a second correct label;
training the classifier using the image acquired in the acquiring and the second correct label attached in the attaching; and
updating training content used in the training, using the image acquired in the acquiring and the first correct label, after training the classifier in the training.