US 11,816,888 B2
Accurate tag relevance prediction for image search
Zhe Lin, Fremont, CA (US); Xiaohui Shen, San Jose, CA (US); Jonathan Brandt, Santa Cruz, CA (US); Jianming Zhang, Newton, MA (US); and Chen Fang, Santa Clara, CA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Apr. 20, 2020, as Appl. No. 16/853,111.
Application 16/853,111 is a continuation of application No. 15/043,174, filed on Feb. 12, 2016, granted, now 10,664,719.
Prior Publication US 2020/0250465 A1, Aug. 6, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/51 (2019.01); G06F 16/28 (2019.01); G06F 16/2457 (2019.01); G06F 16/583 (2019.01); G06F 18/2113 (2023.01); G06F 18/21 (2023.01); G06F 18/23213 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06N 20/10 (2019.01); G06V 20/00 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06N 3/08 (2023.01)
CPC G06V 20/35 (2022.01) [G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/51 (2019.01); G06F 16/583 (2019.01); G06F 18/217 (2023.01); G06F 18/2113 (2023.01); G06F 18/23213 (2023.01); G06F 18/24147 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06N 20/10 (2019.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
inputting an image into a trained image classifier, wherein the trained image classifier is based on a recursive clustering process that generates data clusters, wherein a step in the recursive clustering process comprises partitioning data into clusters and recombining all clusters from the clusters with a size exceeding a predefined threshold prior to a subsequent partitioning;
determining, for the image, a related data cluster from the data clusters of the trained image classifier, the related data cluster comprising a set of training images and corresponding tags; and
propagating a tag to the image, the tag selected from the corresponding tags of the set of training images.