US 12,272,116 B2
Method and apparatus for determining item name, computer device, and storage medium
Yugeng Lin, Shenzhen (CN); Dianping Xu, Shenzhen (CN); Bolun Cai, Shenzhen (CN); Yanhua Cheng, Shenzhen (CN); Chen Ran, Shenzhen (CN); Minhui Wu, Shenzhen (CN); Mei Jiang, Shenzhen (CN); Yike Liu, Shenzhen (CN); Lijian Mei, Shenzhen (CN); Huajie Huang, Shenzhen (CN); Xiaoyi Jia, Shenzhen (CN); Jinchang Xu, Shenzhen (CN); Zhikang Tan, Shenzhen (CN); and Haoyu Li, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed on Apr. 25, 2022, as Appl. No. 17/728,762.
Application 17/728,762 is a continuation of application No. PCT/CN2021/079510, filed on Mar. 8, 2021.
Claims priority of application No. 202010299942.X (CN), filed on Apr. 16, 2020.
Prior Publication US 2022/0254143 A1, Aug. 11, 2022
Int. Cl. G06V 10/74 (2022.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06F 16/58 (2019.01); G06T 7/00 (2017.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 30/148 (2022.01); G06V 30/19 (2022.01)
CPC G06V 10/761 (2022.01) [G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06F 16/5866 (2019.01); G06T 7/0002 (2013.01); G06V 10/267 (2022.01); G06V 10/764 (2022.01); G06V 30/158 (2022.01); G06V 30/19107 (2022.01); G06T 2207/30168 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for determining an item name of a target item, applied to a computing device, the method comprising:
obtaining a first image including the target item;
selecting a plurality of reference images according to the first image from a database, the database including a plurality of images and item information corresponding to the plurality of images, the item information corresponding to the images being used for describing items included in the images, and the item information corresponding to the images including item text information;
performing word segmentation on the item text information corresponding to the plurality of reference images to obtain a plurality of words; and
extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as the item name of the target item,
wherein performing the word segmentation comprises:
performing clustering processing on the plurality of reference images to obtain a plurality of image stacks, each image stack including at least two reference images;
obtaining a similarity between each image stack and the first image according to similarities between reference images in each image stack and the first image;
selecting an image stack having a highest similarity with the first image from the plurality of image stacks, and determining the selected image stack as a target image stack; and
performing word segmentation on item text information corresponding to the plurality of reference images in the target image stack to obtain a plurality of words.