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公开(公告)号：US20220277575A1
公开(公告)日：2022-09-01
申请号：US17743687
申请日：2022-05-13
Inventor： Xia Zhou , Leyi Wang , Qiaoyi Li , Duohao Qin , Minghao Liu
IPC: G06V30/413 , G06V10/75
Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.
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公开(公告)号：US20210390294A1
公开(公告)日：2021-12-16
申请号：US17139403
申请日：2020-12-31
Inventor： Xiangkai Huang , Qiaoyi LI , Yulin LI , Ju Huang , Duohao Qin , Xiameng Qin , Minghao Liu , Junyu Han , Jiangliang Guo
Abstract: Embodiments of the present disclosure disclose an image table extraction method and apparatus, an electronic device, a storage media, and a training method for a table extraction model, which relate to the field of artificial intelligence technologies and cloud computing technologies, including: acquiring an image to be processed;
generating a table of the image to be processed according to a table extraction model, where the table extraction model is obtained according to a field position feature, an image feature, and a text feature of a sample image; and filling text information of the image to be processed into the table.-
Patent Agency Ranking
公开(公告)号：US12154359B2
公开(公告)日：2024-11-26
申请号：US17743687
申请日：2022-05-13
Inventor： Xia Zhou , Leyi Wang , Qiaoyi Li , Duohao Qin , Minghao Liu
IPC: G06V30/413 , G06V10/75
Abstract: A method and apparatus for detecting a table. The method includes: acquiring a to-be-processed image; inputting the to-be-processed image into a pre-trained deep learning model, and outputting a full table detection branch result, a column detection branch result and a header detection branch result through the deep learning model; where the full table detection branch result represents a detection result for a full table in the to-be-processed image, the column detection branch result represents a detection result for a column in the table in the to-be-processed image, and the header detection branch result represents a detection result for a header in the to-be-processed image; and obtaining a detection result of the table in the to-be-processed image, based on the full table detection branch result, the column detection branch result and the header detection branch result.
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4.发明授权公开(公告)号：US11687704B2
公开(公告)日：2023-06-27
申请号：US17207179
申请日：2021-03-19
Inventor： Qiaoyi Li , Xiangkai Huang , Yulin Li , Ju Huang , Xiameng Qin , Duohao Qin , Minghao Liu , Junyu Han
CPC classification number: G06F40/174 , G06F16/93 , G06V30/19013 , G06V30/19173 , G06V30/40 , G06V30/10
Abstract: Disclosed are a method, apparatus and electronic device for annotating information of a structured document. A specific implementation is: obtaining a template image of a structured document and at least one piece of annotation information of a field to be filled in the template image, where the annotation information includes attribute value and historical content of the field to be filled, and historical position of the field to be filled in the template image; generating, according to the attribute value of the field to be filled, the historical content of the field to be filled and the historical position of the field to be filled in the template image, target filling information of the field to be filled; obtaining, according to the target filling information of the field to be filled, an image of an annotated structured document.
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公开(公告)号：US11681875B2
公开(公告)日：2023-06-20
申请号：US16984231
申请日：2020-08-04
Inventor： Xiangkai Huang , Leyi Wang , Lei Nie , Siyu An , Minghao Liu , Jiangliang Guo
IPC: G06F17/00 , G06F40/30 , G06V30/262 , G06V30/413 , G06V30/19 , G06V10/82 , G06V30/412 , G06V30/28
CPC classification number: G06F40/30 , G06V10/82 , G06V30/19173 , G06V30/274 , G06V30/412 , G06V30/413 , G06V30/293
Abstract: The present application discloses a method for image text recognition, an apparatus, a device, and a storage medium, and relates to image processing technologies in the field of cloud computing. A specific implementation is: acquiring an image to be processed, where at least one text line exists in the image to be processed; processing each text line in the image to be processed to obtain a composite encoded vector corresponding to each word in each text line, where the composite encoded vector carries semantic information and position information; and determining a text recognition result of the image to be processed according to the semantic information and the position information carried in the composite encoded vector corresponding to each word in each text line. This technical solution can accurately distinguish adjacent fields with small pixel spacing in the image and improve the accuracy of text recognition in the image.
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6.发明授权公开(公告)号：US11488294B2
公开(公告)日：2022-11-01
申请号：US16939277
申请日：2020-07-27
Inventor： Yawei Wen , Jiabing Leng , Minghao Liu , Yulin Xu , Jiangliang Guo , Xu Li
Abstract: Provided are a method for detecting display screen quality, an apparatus, an electronic device and a storage medium. The method includes: receiving a quality detection request sent by a console deployed on a display screen production line, the quality detection request including a display screen image collected by an image collecting device on the display screen production line; inputting the display screen image into a defect detection model to obtain a defect detection result, the defect detection model being obtained by training historical defective display screen images using a structure of deep convolutional neural networks and an object detection algorithm; and determining, according to the defect detection result, a defect on a display screen corresponding to the display screen image, a defect category corresponding to the defect, and a position corresponding to the defect.
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公开(公告)号：US11380232B2
公开(公告)日：2022-07-05
申请号：US16936806
申请日：2020-07-23
Inventor： Yawei Wen , Jiabing Leng , Minghao Liu , Yulin Xu , Jiangliang Guo , Xu Li
IPC: G09G3/00 , G01N21/956
Abstract: A display screen quality detection method, an apparatus, an electronic device and a storage medium. The method includes receiving a quality detection request sent by a console deployed on a display screen production line, where the quality detection request includes a display screen image captured by an image capturing device on the display screen production line, performing image preprocessing on the display screen image, and inputting the preprocessed display screen image into a defect detection model to obtain a defect detection result, where the defect detection model is obtained by training with a historical defect display screen image using a deep convolutional neural network structure and an instance segmentation algorithm, determining, according to the defect detection result, quality of a display screen corresponding to the display screen image. The technical solution has high defect detection accuracy, good system performance, and high business expansion capability.
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