公开(公告)号：US20240346546A1

公开(公告)日：2024-10-17

申请号：US18584716

申请日：2024-02-22

Applicant: Google LLC

Inventor： Catherine Shyu ,  Luying Li ,  Feng Yang ,  Junjie Ke ,  Xiyang Luo ,  Hao Feng ,  Chao-Hung Chen ,  Wenjing Kang ,  Zheng Xia ,  Shun-Chuan Chen ,  Yicong Tian ,  Xia Li ,  Han Ke

IPC: G06Q30/0242

CPC classification number: G06Q30/0244

Abstract: Systems, devices, methods, and computer readable medium for evaluating visual quality of digital content are disclosed. Methods can include identifying content assets including one or more images that are combined to create different digital components distributed to one or more client devices. A quality of each of the one or more images is evaluated using one or more machine learning models trained to evaluate one or more visual aspects that are deemed indicative of visual quality. An aggregate quality for the content assets is determined based, at least in part, on an output of the one or more machine learning models indicating the visual quality of each of the one or more images. A graphical user interface of a first computing device is updated to present a visual indication of the aggregate quality of the content assets.

公开(公告)号：US20220358537A1

公开(公告)日：2022-11-10

申请号：US17760535

申请日：2020-08-06

Applicant: Google LLC

Inventor： Catherine Shyu ,  Luying Li ,  Feng Yang ,  Junjie Ke ,  Xiyang Luo ,  Hao Feng ,  Chao-Hung Chen ,  Wenjing Kang ,  Zheng Xia ,  Shun-Chuan Chen ,  Yicong Tian ,  Xia Li ,  Han Ke

IPC: G06Q30/02

Abstract: Systems, devices, methods, and computer readable medium for evaluating visual quality of digital content are disclosed. Methods can include identifying content assets including one or more images that are combined to create different digital components distributed to one or more client devices. A quality of each of the one or more images is evaluated using one or more machine learning models trained to evaluate one or more visual aspects that are deemed indicative of visual quality. An aggregate quality for the content assets is determined based, at least in part, on an output of the one or more machine learning models indicating the visual quality of each of the one or more images. A graphical user interface of a first computing device is updated to present a visual indication of the aggregate quality of the content assets.