Patents Assigned to Peking University Shenzhen Graduate School
  • Publication number: 20200106034
    Abstract: A high dielectric constant composite material and method for preparing organic thin film transistor using the material as dielectric. The method includes: using sol-gel method, hydrolyzing terminal group-containing silane coupling agent to form functional terminal group-containing silica sol, cross-linked with organic polymer to form composite sol as material of dielectric of organic thin film transistor; forming film by solution method such as spin coating, dip coating, inkjet printing, 3D printing, etc., forming dielectric after curing; preparing semiconductor and electrode respectively to prepare organic thin film transistor device, which, based on composite dielectric material, has mobility of 5 cm2/V·s, exceeding that of using SiO2, having low threshold voltage and no hysteresis effect. Compared with traditional processes like SiO2 thermal oxidation, above method has advantages of simple process, low cost, suitable for large-area preparation, with great market application value.
    Type: Application
    Filed: September 6, 2017
    Publication date: April 2, 2020
    Applicant: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    Inventors: Hong MENG, Jupeng CAO, Lijia YAN, Yu HE, Xiaoyun WEI, Yanan ZHU, Ting LI
  • Patent number: 10592754
    Abstract: Disclosed are a shadow removing method for an image and an application. The shadow removing method comprises a shadow-free feature analysis process, a shadow-free transformation parameter acquisition process and a shadow-free feature imaging process. The application is for road surface detection, a detection method comprising: firstly, using a shadow-free feature extraction method to select a region of interest and extract a feature; next, performing image filtering, segmentation and road surface region selection; lastly, performing image morphology filtering and hole filling. The method may remove shadows in color images, thus serving as a pre-processing step applied in various machine vision fields, and the application in road surface detection may solve the problem of detecting a road surface in dark shadows. The method has the advantages of having low complexity, high processing speed and high accuracy.
    Type: Grant
    Filed: December 13, 2016
    Date of Patent: March 17, 2020
    Assignee: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    Inventors: Ge Li, Zhenqiang Ying
  • Patent number: 10552989
    Abstract: Provided is a point cloud attribute compression method based on a KD tree and optimized graph transformation, wherein same, with regard to point cloud data, reduces the influence of a sub-graph issue on the graph transformation efficiency by means of a new transformation block division method, optimizes a graph transformation kernel parameter, and improves the compression performance of the graph transformation, and comprises: point cloud pre-processing, point cloud KD tree division, graph construction in the transformation block, graph transformation kernel parameter training, and a point cloud attribute compression process.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: February 4, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Ge Li, Yiting Shao
  • Patent number: 10531093
    Abstract: A method and system for video frame interpolation based on an optical flow method is disclosed. The process includes calculating bidirectional motion vectors between two adjacent frames in a frame sequence of input video by using the optical flow method, judging reliabilities of the bidirectional motion vectors between the two adjacent frames, and processing a jagged problem and a noise problem in the optical flow method; marking “shielding” and “exposure” regions in the two adjacent frames, and updating an unreliable motion vector; with regard to the two adjacent frames, according to marking information about the “shielding” and “exposure” regions and the bidirectional motion vector field, mapping front and back frames to an interpolated frame to obtain a forward interpolated frame and a backward interpolated frame; synthesizing the forward interpolated frame and the backward interpolated frame into the interpolated frame; repairing a hole point in the interpolated frame to obtain a final interpolated frame.
    Type: Grant
    Filed: May 25, 2015
    Date of Patent: January 7, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Chuanxin Tang, Ronggang Wang, Zhenyu Wang, Wen Gao
  • Patent number: 10431160
    Abstract: An organic light emitting diode panel, a gate driver circuit and a gate driver circuit unit are disclosed, where the gate driver circuit includes a scanning signal generating unit for generating a scanning signal, transmitting a first clock signal to a scanning signal output terminal under the control of a pulse signal, and pulling down and maintaining the voltage of the scanning signal output terminal at a low voltage level under the control of a second clock signal. The gate driver circuit unit also includes a light emitting signal generating unit for generating a light emitting signal, pulling down the voltage of the light emitting signal output terminal under the control of the pulse signal, and charging the light emitting signal output terminal under the control of the second clock signal.
    Type: Grant
    Filed: March 24, 2016
    Date of Patent: October 1, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Shengdong Zhang, Zhijin Hu, Congwei Liao, Wenjie Li, Junmei Li, Shijie Cao
  • Patent number: 10425656
    Abstract: A video encoding and decoding method, and its inter-frame prediction method, device and system thereof are disclosed. The inter-frame prediction method includes obtaining a motion vector of the current image block and related spatial position of a current pixel, obtaining a motion vector of the current pixel according to the motion vector of the current image block and the related spatial position of the current pixel; and obtaining a predicted value of the current pixel according to the motion vector of the current pixel. The method considers both the motion vector of the current image block and the related spatial position information of the current pixel during inter-frame prediction. The method can accommodate lens distortion characteristics of different images and zoom-in/zoom-out produced when the object moves in pictures, thereby improving the calculation accuracy of pixels' motion vectors, and improving inter-frame prediction performance and compression efficiency in video encoding and decoding.
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Zhenyu Wang, Ronggang Wang, Xiubao Jiang, Wen Gao
  • Patent number: 10424052
    Abstract: An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector.
    Type: Grant
    Filed: September 15, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Wenmin Wang, Mingmin Zhen, Ronggang Wang, Ge Li, Shengfu Dong, Zhenyu Wang, Ying Li, Wen Gao
  • Patent number: 10424054
    Abstract: A low-illumination image processing method and device address the problem of noise amplification in existing contrast enhancement techniques when applied to original low-illumination image. A noise suppression filter is additionally arranged before an operation of contrast enhancement, and smoothing processing is performed on an inverse color image of a low-illumination image by adopting a first filtering coefficient and a second filtering coefficient, so that image contrast is enhanced while random noise is suppressed. Texture and noise level parameter of an image are calculated according to a local characteristic inside block of the image. Weighted averaging is performed on a first smoothing image and a second smoothing image after smoothing processing according to the texture and noise level parameters.
    Type: Grant
    Filed: June 26, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Lin Li, Ronggang Wang, Chengzhou Tang, Zhenyu Wang, Wen Gao
  • Patent number: 10425640
    Abstract: A method, a device and an encoder for controlling filtering of intra-frame prediction reference pixel point are disclosed. The method includes: when various reference pixel points in a reference pixel group of an intra-frame block to be predicted are filtered, and the target reference pixel point to be filtered currently is not an edge reference pixel point in a reference pixel group (S202), acquiring a pixel difference value between the target reference pixel point and n adjacent reference pixel points thereof (S203); and selecting a filter with the filtering grade thereof corresponding to the pixel difference value to filter the target reference pixel point (S204). For various reference pixel points not located at an edge in a reference pixel group, according to the local difference characteristics of these reference pixel points, filters with corresponding filtering grades are flexibly configured, thus providing flexibility and adaptivity to the filtering, achieving better effect.
    Type: Grant
    Filed: June 16, 2016
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Ronggang Wang, Kui Fan, Zhenyu Wang, Wen Gao
  • Patent number: 10424075
    Abstract: A method and a device for post-processing depth/disparity maps adopt a strategy of combining edge information and segmentation information when detecting irregular edge regions. The method includes dividing a color image into super pixels when performing image segmentation on a color image; partitioning a grayscale range into a preset number of intervals, and for each super pixel, statistically obtaining a histogram of all the pixel points that fall within the intervals; determining, in a current super pixel, whether a ratio of the number of pixels contained in the interval having a maximum interval distribution value, to the total number of pixels in the current super pixel is less than the first threshold; and if so, further dividing the current super pixel using a color-based segmentation method. The disclosed method and device improve accuracy of color image division while ensuring image processing speed, thus improving detection accuracy of the irregular edge regions.
    Type: Grant
    Filed: May 6, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Jianbo Jiao, Ronggang Wang, Zhenyu Wang, Wenmin Wang, Wen Gao
  • Publication number: 20190273934
    Abstract: The present disclosure discloses a method and apparatus for fast inverse discrete cosine transform and a video coding/decoding method and framework. By recording positions of non-zero coefficients in a transform unit during a procedure of performing inverse quantization scanning to the coefficients, determining a distribution pattern of non-zero coefficients of the transform unit based on the positions of non-zero coefficients, and further selecting an inverse discrete cosine transform function corresponding to the non-zero coefficient distribution pattern, and then performing inverse cosine transform to the function, the technical solutions of the present disclosure need not compute the zero coefficients, which thus improves the overall speed of an algorithm; because the positions of non-zero coefficients have been recorded during the procedure of performing inverse quantization scanning to the coefficients, the complexity of the algorithm is lowered.
    Type: Application
    Filed: March 17, 2016
    Publication date: September 5, 2019
    Applicant: Peking University Shenzhen Graduate School
    Inventors: Ronggang WANG, Kaili YAO, Zhenyu WANG, Wen GAO
  • Patent number: 10395374
    Abstract: Disclosed in the present invention is a video foreground extraction method for a surveillance video, which adjusts a size of a block to adapt to different video resolutions based on an image block processing method; and then extracts a foreground object in a moving state by establishing a background block model, the method comprising: representing each frame of image I in the surveillance video as a block; initializing; updating a block background weight, a block temporary background and a temporary background; updating a block background and a background; saving a foreground, and updating a foreground block weight and a foreground block; and performing binarization processing on the foreground to obtain a final foreground result.
    Type: Grant
    Filed: April 6, 2017
    Date of Patent: August 27, 2019
    Assignee: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    Inventors: Ge Li, Xianghao Zang, Wenmin Wang, Ronggang Wang
  • Patent number: 10373562
    Abstract: The present application provides a gate driver circuit comprising at least one cascaded gate driver circuit unit. The low-level-holding enabling terminal of the gate driver circuit unit is connected to an adaptive voltage generating module. The adaptive voltage generating module generates a self-compensating voltage according to its constant current source and transmits to the low-level-holding enabling terminal, so as to provide an effective voltage level to the low-level-holding enabling terminal. Because the threshold voltage shift caused by pulling-down transistors in the low-level-holding module is embodied at the low-level-holding enabling terminal, the adaptive voltage generating module generates a self-compensating voltage with its constant current source according to the threshold voltage to compensate the increase of the threshold voltage.
    Type: Grant
    Filed: March 25, 2016
    Date of Patent: August 6, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Shengdong Zhang, Chuanli Leng, Zhijin Hu, Congwei Liao
  • Publication number: 20190220768
    Abstract: An example topology construction method for satisfying partition tolerance, comprising: combining the consortium blockchain consensus mechanism with the network topology structure to make the consortium blockchain consensus satisfy the partition tolerance in probability; abstracting the partition tolerance of a system into a class of convergent Markov process and computing a steady-state probability of the system; estimating the probability and the average minimum repair time of failing to meet consistency or availability in the event of a partition failure with a given number of failure channels, and a partition tolerance probability and an average minimum repair time of the system are obtained; and analyzing the resource overhead and the partition tolerance under different network topologies according to the obtained partition tolerance probability and the average minimum repair time, and constructing the network topology structure with suitable scale and high partition tolerance for the consortium blockcha
    Type: Application
    Filed: March 21, 2019
    Publication date: July 18, 2019
    Applicants: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL, CHINA NATIONAL DIGITAL SWITCHING SYSTEM ENGINEERING & TECHNOLOGICAL R&D CENTER, SHENZHEN CESTBON TECHNOLOGY CO. LIMITED
    Inventors: Hui Li, Jiangxing Wu, Kejiao Li, Peng Yi, Han Wang, Fusheng Zhu, Hanxu Hou, Kedan Li, Xichun Zhang
  • Patent number: 10355986
    Abstract: A method and device for forwarding an interest packet based on a probability tree in an information network. By introducing a probability tree, the process of forwarding an interest packet is finally changed into a selection process: starting from a root node of the probability tree, selecting child nodes of a current node according to the probability of each child node of the current node, and stopping selecting until the selected child node is a leaf node. Moreover, the introduced probability tree provides a good carrier for machine learning. By considering the selection process as an optimization problem, the selection process can be converged to be approximate to an optimal state using online machine learning, and moreover, the probability of each node in the probability tree can be adjusted according to changes in network conditions, so that the forwarding method and device have strong adaptability to the network changes, thereby improving self-adaptability.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: July 16, 2019
    Assignee: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    Inventors: Kai Lei, Lirui Gong, Jie Yuan, Lizhu Zhang
  • Publication number: 20190205393
    Abstract: A cross-media search method using a VGG convolutional neural network (VGG net) to extract image features. The 4096-dimensional feature of a seventh fully-connected layer (fc7) in the VGG net, after processing by a ReLU activation function, serves as image features. A Fisher Vector based on Word2vec is utilized to extract text features. Semantic matching is performed on heterogeneous images and the text features by means of logistic regression. A correlation between the two heterogeneous features, which are images and text, is found by means of semantic matching based on logistic regression, and thus cross-media search is achieved. The feature extraction method can effectively indicate deep semantics of image and text, improve cross-media search accuracy, and thus greatly improve the cross-media search effect.
    Type: Application
    Filed: December 1, 2016
    Publication date: July 4, 2019
    Applicant: Peking University Shenzhen Graduate School
    Inventors: Wenmin Wang, Liang Han, Mengdi Fan, Ronggang Wang, Ge Li, Shengfu Dong, Zhenyu Wang, Ying Li, Hui Zhao, Wen Gao
  • Patent number: 10339409
    Abstract: A method and a device for extracting local features of a 3D point cloud are disclosed. Angle information and the concavo-convex information about a feature point to be extracted and a point of an adjacent body element are calculated based on a local reference system corresponding to the points of each body element. The feature relation between the two points can be calculated accurately. The property of invariance in translation and rotation is possessed. Since concavo-convex information about a local point cloud is contained during extraction, the inaccurate extraction caused by ignoring concavo-convex ambiguity in previous 3D local feature description is resolved.
    Type: Grant
    Filed: June 18, 2015
    Date of Patent: July 2, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Wenmin Wang, Mingmin Zhen, Ronggang Wang, Ge Li, Shengfu Dong, Zhenyu Wang, Ying Li, Wen Gao
  • Patent number: 10341682
    Abstract: Methods and devices are disclosed for panoramic video coding and decoding based on multi-mode boundary fill. If a predicted image block of a current image block is obtained by inter-frame prediction. The inter-frame prediction includes a boundary fill step of adaptively selecting a boundary fill method according to coordinates of a reference sample when the reference sample of a pixel in the current image block is outside the boundary of a corresponding reference image, to obtain a sample value of the reference sample. The panoramic video encoding and decoding method and device based on multi-mode boundary fill in the present invention make full use of the characteristic that horizontal image contents in a panoramic video are cyclically connected to optimize an image boundary fill method, such that the encoding can adaptively select a more reasonable boundary fill method according to the coordinates of a reference sample, thereby improving compression efficiency.
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: July 2, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Zhenyu Wang, Ronggang Wang, Xiubao Jiang, Wen Gao
  • Patent number: 10339633
    Abstract: The present application provides a method and a device for super-resolution image reconstruction based on dictionary matching. The method includes: establishing a matching dictionary library; inputting an image to be reconstructed into a multi-layer linear filter network; extracting a local characteristic of the image to be reconstructed; searching the matching dictionary library for a local characteristic of a low-resolution image block having the highest similarity with the local characteristic of the image to be reconstructed; searching the matching dictionary library for a residual of a combined sample where the local characteristic of the low-resolution image block with the highest similarity is located; performing interpolation amplification on the local characteristic of the low-resolution image block having the highest similarity; and adding the residual to a result of the interpolation amplification to obtain a reconstructed high-resolution image block.
    Type: Grant
    Filed: November 4, 2015
    Date of Patent: July 2, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Yang Zhao, Ronggang Wang, Wen Gao, Zhenyu Wang, Wenmin Wang
  • Patent number: 10334020
    Abstract: Disclosed are a method and apparatus for acquiring target data from and sending target data to a network. An NDN network and a TCP/IP network are simultaneously contained as a network layer protocol, and the NDN network is used to perform interaction of control information and searching of target data, while the TCP/IP network is used to perform specific transmission of the target data. Not only are intelligent and efficient content distribution advantages of the NDN network made use of, but also, by means of the efficient transmission capability of the TCP/IP network in an existing network device and communication environment, the content distribution capability in a hybrid network simultaneously having the TCP/IP network and the NDN network is improved.
    Type: Grant
    Filed: January 26, 2016
    Date of Patent: June 25, 2019
    Assignee: PEKING UNIVERSITY SHENZHEN GRADUATE SCHOOL
    Inventors: Kai Lei, Jie Yuan, Yunbo Xun, Xiang Zhang, Lirui Gong