US 12,450,868 B2
Image retrieval method and apparatus, storage medium, and device
Shuai Mou, Guangdong (CN); Wan Peng Xiao, Guangdong (CN); and Qi Ju, Guangdong (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed on Mar. 1, 2022, as Appl. No. 17/683,777.
Application 17/683,777 is a continuation of application No. PCT/CN2020/126086, filed on Nov. 3, 2020.
Claims priority of application No. 202010088101.4 (CN), filed on Feb. 12, 2020.
Prior Publication US 2022/0222918 A1, Jul. 14, 2022
Int. Cl. G06V 10/00 (2022.01); G06F 16/532 (2019.01); G06F 16/55 (2019.01); G06V 10/46 (2022.01); G06V 10/74 (2022.01); G06V 10/75 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/757 (2022.01) [G06F 16/532 (2019.01); G06F 16/55 (2019.01); G06V 10/462 (2022.01); G06V 10/761 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An image retrieval method, performed by at least one processor of an image retrieval device, and comprising:
obtaining an image;
performing feature extraction on the image according to a first feature extraction manner to obtain a first feature, the first feature extraction manner being a deep learning-based extraction manner and the first feature being a depth feature;
determining, based on the first feature of the image, at least one candidate image matching the image;
performing feature extraction on the image and each of the at least one candidate image according to a second feature extraction manner to obtain a second feature, the second feature extraction manner being a non-deep learning-based extraction manner;
sequentially performing key point matching processing on the image with each of the at least one candidate image based on the extracted second feature;
determining a first image, from among the at least one candidate image, as an image retrieval result, based on a quantity of matched key points between the first image and the image being greater than a quantity threshold; and
transmitting the image retrieval result.