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公开(公告)号：US11238301B2
公开(公告)日：2022-02-01
申请号：US16960052
申请日：2019-05-09
Applicant: BOE Technology Group Co., Ltd.
Inventor： Huanhuan Zhang , Jingtao Xu , Xiaojun Tang , Hui Li
Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.
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公开(公告)号：US11132392B2
公开(公告)日：2021-09-28
申请号：US16561858
申请日：2019-09-05
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu , Jianwen Suo
IPC: G06F16/583 , G06K9/62 , G06N3/08 , G06N3/04
Abstract: Disclosed are an image retrieval method, an image retrieval apparatus, an image retrieval device and a computer-readable storage medium, wherein the image retrieval method including: extracting global features of an input image and obtaining a global feature code based on the global features; extracting content features of the input image and obtaining a content feature code based on the content features; splicing the global feature code with the content feature code to obtain a composite feature code of the input image; comparing the composite feature code with alternative feature codes in a feature code library to obtain an image retrieval result. By comprehensively considering the global features and the content features of the input image in the image retrieval process, the accuracy and retrieval efficiency of the retrieval results can be improved.
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公开(公告)号：US11341735B2
公开(公告)日：2022-05-24
申请号：US16905588
申请日：2020-06-18
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu , Jianwen Suo , Xiangyang Liu , Tingting Wang , Shaonan Zhang , Bo Xu
Abstract: This disclosure provides an image recommendation method, a client, a server, a computer system and a medium. The method includes acquiring an image, sending the acquired image to a server, such that the server extracts a scale invariant feature of the acquired image and performs retrieval of identical images according to the scale invariant feature of the acquired image, and such that the server extracts a multi-scale feature of the acquired image and performs retrieval of similar images according to the multi-scale feature of the acquired image, and receiving at least one recommended image. The at least one recommended image is based on result of the identical image retrieval and result of the similar image retrieval.
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公开(公告)号：US11288839B2
公开(公告)日：2022-03-29
申请号：US16633393
申请日：2019-07-03
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu , Jianwen Suo , Yue Li , Bo Xu , Zhiguo Zhang
Abstract: A method for positioning a supermarket shopping cart, a system for positioning a supermarket shopping cart and a supermarket shopping cart. A method for positioning a supermarket shopping cart provided by the present disclosure includes: acquiring a first reference image of a supermarket, and processing a first reference image to obtain a partition in which a shopping cart is located as a positioning partition, in which the supermarket comprises a plurality of partitions; receiving distance information sent by at least one signal transmitter provided in the positioning partition, in which each partition is provided with at least one signal transmitter; and obtaining a first positioning position of the shopping cart, according to distance information sent by at least one signal transmitter corresponding to the positioning partition, and determining an actual position of the shopping cart based on the first positioning position of the shopping cart.
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公开(公告)号：US20210256291A1
公开(公告)日：2021-08-19
申请号：US16960052
申请日：2019-05-09
Applicant: BOE Technology Group Co., Ltd.
Inventor： Huanhuan Zhang , Jingtao Xu , Xiaojun Tang , Hui Li
Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.
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Patent Agency Ranking
公开(公告)号：US10970844B2
公开(公告)日：2021-04-06
申请号：US16403805
申请日：2019-05-06
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu , Jianwen Suo , Yue Li
Abstract: An image segmentation method and device, a computer device and a non-volatile storage medium are provided. The image segmentation method includes: performing super-pixel segmentation on an image to be segmented to obtain a super-pixel image, and binarizing the image to be segmented to obtain a binary image; combining the super-pixel image and the binary image to obtain a binary super-pixel image; performing distance transformation on the binary super-pixel image, to obtain a grayscale super-pixel image; marking seed points in the grayscale super-pixel image, to obtain a seed point super-pixel image in which grayscale values of the seed points are greater than a first value, and grayscale values of pixel blocks other than the seed points in target regions are the first value; and marking and filling the pixel blocks, grayscale values of which are the first value in the seed point super-pixel image, to obtain a segmented image.
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公开(公告)号：US11908235B2
公开(公告)日：2024-02-20
申请号：US17595605
申请日：2020-12-25
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu
CPC classification number: G06V40/167 , G06V10/22 , G06V10/761 , G06V20/41 , G06V20/48 , G06V40/168 , G06V40/45 , G06V40/50
Abstract: The embodiments of the present disclosure provide a method of registering a face based on video data, including: receiving video data; acquiring a first image frame sequence from the video data, wherein each image frame in the first image frame sequence includes a face detection frame containing a complete facial feature; determining whether each image frame reaches a preset definition or not according to a relative position of the face detection frame in the image frame; extracting a plurality of sets of facial features based on an image information of the plurality of face detection frames in response to determining that the image frame reaches the preset definition, and determining whether the faces represent an object or not according to the plurality of sets of facial features; and registering the object according to the first image frame sequence in response to determining that the faces represent the object.
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公开(公告)号：US11763164B2
公开(公告)日：2023-09-19
申请号：US17043591
申请日：2019-12-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jingtao Xu , Jianwen Suo , Xiaojun Tang
IPC: G06F16/55 , G06F16/583 , G06F16/51 , G06F16/532 , G06N3/084 , G06N3/08 , G06F18/22 , G06V10/74
CPC classification number: G06N3/084 , G06F16/51 , G06F16/532 , G06F16/55 , G06F16/583 , G06F18/22 , G06N3/08 , G06V10/761
Abstract: An image-to-image search method which is implemented in a server is provided. The server receives an image to be searched and at least one category of similarity search sent by a terminal. The server extracts a feature code of the image by using a trained hash model that uniquely corresponds to the at least one category of similarity search according to the received image and the at least one category of similarity search. The server obtains target images that are similar to the image according to the feature code of the image in a feature code library that uniquely corresponds to the at least one category of similarity search. The server sends the target images to the terminal.
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公开(公告)号：US11302280B2
公开(公告)日：2022-04-12
申请号：US17254981
申请日：2019-12-25
Inventor： Jianwen Suo , Jingtao Xu , Xuefeng Wang , Wenyu Li , Jinghua Miao , Yakun Wang , Jinbao Peng , Bin Zhao , Zhifu Li , Xi Li , Qingwen Fan , Yukun Sun , Hao Zhang , Lili Chen
Abstract: A compensation method for VR display, a compensation device for VR display, and a display device are provided. The compensation method for VR display includes: calculating a first synchronization signal value to be output by a controller according to a rendering resolution, a rendering frame rate and bandwidth data of a display panel; comparing the first synchronization signal value with a pre-stored second synchronization signal value of the display panel; generating compensation image data between two adjacent frames of original image data in a case where a comparison result shows that the first synchronization signal value is greater than the second synchronization signal value; and compensating an image to be displayed according to generated compensation image data.
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公开(公告)号：US11263752B2
公开(公告)日：2022-03-01
申请号：US16755647
申请日：2019-05-09
Applicant: BOE Technology Group Co., Ltd.
Inventor： Jingtao Xu , Jianwen Suo
Abstract: A computer-implemented method of detecting a foreign object on a background object in a sample image is provided. The computer-implemented method includes extracting image features of the sample image; detecting a salient region in the sample image; and segmenting the salient region to determine a contour of a foreign object region based on results of segmenting the salient region. Segmenting the salient region is performed by an automatic Grabcut operation without user interaction.
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