公开(公告)号：US11921276B2

公开(公告)日：2024-03-05

申请号：US17379428

申请日：2021-07-19

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Xiang Long ,  Yan Peng ,  Shufei Lin ,  Ying Xin ,  Bin Zhang ,  Pengcheng Yuan ,  Xiaodi Wang ,  Yuan Feng ,  Shumin Han

IPC: G02B21/24 ,  G02B21/36 ,  G06F18/213 ,  G06F18/214

CPC classification number: G02B21/244 ,  G02B21/367 ,  G06F18/213 ,  G06F18/214

Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.

公开(公告)号：US11734809B2

公开(公告)日：2023-08-22

申请号：US17174002

申请日：2021-02-11

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Xiang Long ,  Ping Wang ,  Zhichao Zhou ,  Fu Li ,  Dongliang He ,  Hao Sun

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06T7/0002 ,  G06N3/04 ,  G06N3/08 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30168

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing an image, and relates to the field of computer vision technology. The method may include: acquiring a value to be processed, where the value to be processed is associated with an image to be processed; and processing the value to be processed by using a quality scoring model to generate a score of the image to be processed in a target scoring domain, where the score of the image to be processed in the target scoring domain is related to an image quality of the image to be processed.

公开(公告)号：US11669990B2

公开(公告)日：2023-06-06

申请号：US17412574

申请日：2021-08-26

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Yan Peng ,  Xiang Long ,  Shumin Han ,  Honghui Zheng ,  Zhuang Jia ,  Xiaodi Wang ,  Pengcheng Yuan ,  Yuan Feng ,  Bin Zhang ,  Ying Xin

IPC: G06T7/62 ,  G06F18/241 ,  G06F18/25 ,  G06F18/2137 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V10/32 ,  G06V10/50 ,  G06V10/26 ,  G06V20/13

CPC classification number: G06T7/62 ,  G06F18/2137 ,  G06F18/241 ,  G06F18/253 ,  G06V10/26 ,  G06V10/32 ,  G06V10/50 ,  G06V10/764 ,  G06V10/809 ,  G06V10/82 ,  G06V20/13 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.

公开(公告)号：US11615140B2

公开(公告)日：2023-03-28

申请号：US17144523

申请日：2021-01-08

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Xiang Long ,  Dongliang He ,  Fu Li ,  Xiang Zhao ,  Tianwei Lin ,  Hao Sun ,  Shilei Wen ,  Errui Ding

IPC: G06F16/738 ,  G06V20/40 ,  G06F18/214 ,  G06F18/25

Abstract: A method includes screening, by a video-clip screening module in a video description model, a plurality of video proposal clips acquired from a video to be analyzed, to acquire a plurality of video clips suitable for description. The plural video proposal clips acquired from the video to be analyzed may be screened by the video-clip screening module to acquire the plural video clips suitable for description; and then, each video clip is described by a video-clip describing module, thus avoiding description of all the video proposal clips, only describing the screened video clips which have strong correlation with the video and are suitable for description, removing the interference of the description of the video clips which are not suitable for description in the description of the video, guaranteeing the accuracy of the final descriptions of the video clips, and improving the quality of the descriptions of the video clips.