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1.发明授权公开(公告)号：US10515435B2
公开(公告)日：2019-12-24
申请号：US15821095
申请日：2017-11-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Pablo Navarrete Michelini , Hanwen Liu , Xiaoyu Li
Abstract: The disclosure discloses an apparatus for upscaling an image, a method for training the same, and a method for upscaling an image, where a convolutional neural network circuit obtains feature images of the image, a multiplexer upscales the image by integrating every n*n feature images of an input signal into a feature image with a resolution which is n times the resolution of a feature image of the image, where n is an integer greater than 1.
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公开(公告)号：US10311547B2
公开(公告)日：2019-06-04
申请号：US15741781
申请日：2017-06-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Lijie Zhang , Xiaoyu Li
Abstract: An image upscaling system includes at least two convolutional neural network modules and at least one synthesizer. The convolutional neural network module and the synthesizer are alternately connected to one another. The first convolutional neural network module receive an input image and the corresponding supplemental image, generate a first number of the feature images, and output them to the next synthesizer connected thereto. Other convolutional neural network modules each may receive the output image from the previous synthesizer and the corresponding supplemental image, generate a second number of feature images, and output them to the next synthesizer connected thereto, or output them from the image upscaling system. The synthesizer may synthesize every n*n feature images in the received feature image into one feature image and output the resultant third number of feature images to the next convolutional neural network module connected thereto or output them from the image upscaling system.
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公开(公告)号：US20180192779A1
公开(公告)日：2018-07-12
申请号：US15741754
申请日：2017-01-25
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Han Yan , Qi Zeng , Lihua Geng , Xiaoyu Li
IPC: A47C20/04 , A47C21/00 , A61B5/00 , G06K9/00 , H04N21/442 , H04N21/443 , H04N21/41 , H04N21/4223
CPC classification number: A47C20/04 , A47C21/003 , A61B5/4809 , G06K9/00228 , G06K9/00315 , H04N21/4131 , H04N21/4223 , H04N21/44218 , H04N21/4436 , H04N21/4852 , H04N21/4854
Abstract: The present application discloses a TV bed, including: a bed and a TV. The bed comprises a bed body with a main position and a headboard portion, a bed sensing unit, a bed receiver, a bed sender and a first controlling unit; and the TV comprises a detecting unit, a determining unit, a generating unit, a TV receiver, a TV sender, and a second controlling unit, the bed receiver being configured to receive command signals from the TV sender, and the TV receiver being configured to receive command signals from the bed sender. The TV is configured to generate a bed-control command based on a user's face position in the bed and is configured to send the bed-control command to the bed; and the bed is configured to receive the bed-control command and is configured to control the headboard portion to move to a position based on the bed-control command.
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4.发明申请公开(公告)号：US20180315165A1
公开(公告)日：2018-11-01
申请号：US15821095
申请日：2017-11-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Pablo Navarrete Michelini , Hanwen Liu , Xiaoyu Li
Abstract: The disclosure discloses an apparatus for upscaling an image, a method for training the same, and a method for upscaling an image, where a convolutional neutral network circuit obtains feature images of the image, a multiplexer upscales the image by integrating every n*n feature images of an input signal into a feature image with a resolution which is n times the resolution of a feature image of the image, where n is an integer greater than 1.
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公开(公告)号：US20180197405A1
公开(公告)日：2018-07-12
申请号：US15805327
申请日：2017-11-07
Applicant: Boe Technology Group Co., Ltd.
Inventor： Xiaoyu Li , Lihua Geng , Han Yan , Pablo Navarrete Michelini
CPC classification number: G08B29/185 , G08B21/0233 , G08B21/08 , G08B21/088
Abstract: A drowning alarm system and a drowning alarm method. The drowning alarm system includes a submerging detection device, a position detection device and a signal transmitting device. The submerging detection device configured to detect whether or not the submerging detection device is submerged, and generate a submerging alarm instruction when the submerging detection device is submerged. The position detection device configured to determine whether or not the submerging detection device is within a preset range, and generate a distance information instruction when the submerging detection device is within the preset range. The signal transmitting device configured to transmit a first alarm signal when the submerging detection device generates the submerging alarm instruction and the position detection device generates the distance information instruction. The drowning alarming system with false alarm prevention function is realized.
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Patent Agency Ranking
公开(公告)号：US10776650B2
公开(公告)日：2020-09-15
申请号：US15742321
申请日：2017-05-31
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Lihua Geng , Junyuan Ren , Xiaoyu Li , Han Yan , Qi Zeng
Abstract: The present application provides a method and apparatus for video surveillance. The method for video surveillance includes: detecting, through an infrared sensor, whether a target is present in a sensing area of the infrared sensor, and generating a deflection instruction indicating a deflection angle in a case where it is detected that the target is present; and deflecting, according to the deflection instruction, a shooting direction of a camera towards the target by the deflection angle.
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公开(公告)号：US10666944B2
公开(公告)日：2020-05-26
申请号：US15745091
申请日：2017-06-27
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Xiaoyu Li
IPC: G06N3/04 , H04N19/124 , H04N19/192 , H04N19/593 , G06N3/08 , H04N19/117 , H04N19/14 , H04N19/61 , H04N19/63 , H04N19/154 , H04N19/635
Abstract: Provided are an image encoding method, an image decoding method and an image processing system including image encoding/decoding apparatus. The image encoding method includes steps of: acquiring a first image and a plurality of second images; updating features of each second image of the plurality of second images to obtain corresponding update features; superposing the first image with the update features of each second image of the plurality of second images to generate superposed images; generating a plurality of prediction images according to the superposed images; determining difference features between each second image of the plurality of second images and a corresponding prediction image; outputting the superposed images and the difference features; wherein the updating and/or predicting adopts a convolutional neural network.
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公开(公告)号：US10255877B2
公开(公告)日：2019-04-09
申请号：US15528584
申请日：2016-08-22
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Xiaoyu Li , Lihua Geng , Navarrete Michelini Pablo
Abstract: The present application discloses a signal source detection and selection system for detecting and selecting a signal source for a display apparatus having a plurality of signal input interfaces configured to receive a plurality of input signals from a plurality of signal sources. The signal source detection and selection system includes an input interface scanner, an interface selector, a signal processor, and an output terminal. The input interface scanner is configured to scan each of the plurality of signal input interfaces and determine whether at least one signal input interfaces receives input signals. The interface selector, coupled to the input interface detector, is configured to select a signal input interface as a selected signal input interface, and gate an input signal from the selected signal input interface to the signal processor. The signal processor, coupled to the input interface selector, is configured to process the input signal from the selected signal input interface to generate a processed signal. The output terminal is configured to output the processed signal.
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公开(公告)号：US20180190237A1
公开(公告)日：2018-07-05
申请号：US15528584
申请日：2016-08-22
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Xiaoyu Li , Lihua Geng , NAVARRETE MICHELINI Pablo
CPC classification number: G09G5/006 , G06F3/1423 , G09G5/00 , G09G2370/10 , G09G2370/12 , G09G2370/22
Abstract: The present application discloses a signal source detection and selection system for detecting and selecting a signal source for a display apparatus having a plurality of signal input interfaces configured to receive a plurality of input signals from a plurality of signal sources. The signal source detection and selection system includes an input interface scanner, an interface selector, a signal processor, and an output terminal. The input interface scanner is configured to scan each of the plurality of signal input interfaces and determine whether at least one signal input interfaces receives input signals. The interface selector, coupled to the input interface detector, is configured to select a signal input interface as a selected signal input interface, and gate an input signal from the selected signal input interface to the signal processor. The signal processor, coupled to the input interface selector, is configured to process the input signal from the selected signal input interface to generate a processed signal. The output terminal is configured to output the processed signal.
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10.发明授权公开(公告)号：US10015510B1
公开(公告)日：2018-07-03
申请号：US15501422
申请日：2016-05-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Lijie Zhang , Xiaoyu Li , Jianmin He
Abstract: The disclosure relates to an image compression system, an image decompression system, a training method and device, as well as a display device. In the image compression system, convolutional neural network modules are used to complete the update and prediction processes. As such, the weight of each filtering unit in the convolutional neural network module can be trained in order to provide the corresponding image compression system with a better compression rate, thereby reducing the difficulty in setting the filtering parameters of the image compression unit and the image decompression unit.
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