Boe Technology Group Co., Ltd.

Omnissa, LLC

Aecc Beijing Institute of Aeronautical Materials

Huanhuan Zhang

Xiaojun Tang

Yifei Zhang

Tong Liu

Xing Wei

Haiwei Zhao

Zhaohan Ren

Hui Li

Bo Liu

Yang Yu

Jingtao Xu

Zhiguo Zhang

Hongsheng Li

Yue Sun

Guangwei Huang

Jie Pang

Haoliang Tian

Changliang Wang

Zhihui Tang

Yongjing Cui

Junguo Gao

Mengqiu Guo

Dongyu Zhao

Yue Hao

The disclosure provides a method for launching a browsing session. The method generally includes upon initiation of a browser extension of a browser at a first device, establishing a communication channel between the browser extension and a uniform resource locator (URL) native application; requesting, by the browser extension via the communication channel, one or more URL redirection rules, wherein the one or more URL redirection rules are associated with one or more URLs; receiving the one or more URL redirection rules; receiving a URL; sending, from the first device to the second device, a request to launch another browser at the second device based on the received URL matching at least one URL of the one or more URLs associated with the one or more URL redirection rules; sending, from the first device to the second device, the received URL; and displaying the launched browser of the second device.

URL content redirection

A non-transitory computer-readable storage medium, a trace detection device, and a device and method for training a trace detection model are described, relating to the technical field of machine learning. The training method comprises obtaining a sample image and a sample tag of the sample image; performing line segment detection on the sample image, and obtaining a line segment edge feature of the sample image; generating a training feature according to the line segment edge feature; and training a classification model according to the sample tag and the training feature to obtain a trace detection model (S).

Storage medium, trace detection device, and device and method for training trace detection model

A handwriting recognition method and apparatus, and an electronic device and a storage medium are provided. The method includes: acquiring a text image containing handwritten text; inputting the text image into a convolutional neural network, and extracting a CNN feature and a HOG feature of the text image; and extracting the handwritten text in text image according to the CNN feature and the HOG feature.

Handwriting recognition method and apparatus, and electronic device and storage medium

An example method of uniform resource locator (URL) redirection between a client device and a remote system executing a remote desktop accessed by the client device is described. The method includes intercepting, by an extension of a first web browser, a URL selected to be opened on the first web browser, the first web browser and the extension executing on a first system in communication with a second system, the first system and the second system being the client device and the remote system respectively or vice versa; forwarding, by the extension, the URL to a native process executing on the first system; determining, by the native process, an internet protocol (IP) address of the URL; forwarding the URL and the IP address to the second system; and opening, by the second system, the URL on a second web browser executing in the second system.

Redirection between local and remote systems for web browsers

A system is described for redirecting multimedia in a collaborative session on a virtual desktop. The virtual desktop session can be established, and collaborator virtual desktop clients can be connected in a collaborative session where each collaborator can view the desktop GUI in their respective virtual desktop client. A request can be received to play media in a media player in the virtual desktop. The media stream can be intercepted in the virtual desktop before it is rendered in the media player and conveyed to each collaborator's client over a separate virtual channel established between the virtual desktop and each collaborator. The data stream can then be rendered in a client media player by each collaborator's client.

Multimedia redirection in collaborative sessions on virtual desktops

A resin matrix composite used as anti-ablation coating material and its preparation method is provided. The resin matrix composite is a mixture of yttria-stabilized zirconia (YSZ), a resin, Cu, and SiO. The mixture is uniform and include spherical particles or spherical aggregates. A method for preparing a resin matrix composite for anti-ablation coating includes mixing YSZ, a resin, Cu, and SiOto obtain a mixed powder and performing spray granulation of the mixed powder to obtain a resin matrix composite including spherical particles or spherical agglomerates.

Anti-ablative coating material for resin-based composite material and preparation method therefor

The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.

Handwritten text recognition method, apparatus and system, handwritten text search method and system, and computer-readable storage medium

The present disclosure provides an image processing method, device and apparatus, and a computer-readable storage medium. The image processing method includes: obtaining an image and detecting multiple targets in the image; obtaining categories of multiple detected targets and first parameters of a detection frame corresponding to each detected target, and ranking all detected targets according to the first parameters in a descending order to obtain a dataset; obtaining a target with a highest first parameter in the dataset as a first detected target, and detecting whether the first parameter of a first detection frame corresponding to the first detected target satisfies a preset category condition of a category to which the first detected target belongs; detecting whether the first detection frame corresponding to the first detected target overlaps with a detection frame corresponding to a respective one of the plurality of detected targets except the first detected target.

Image processing method, device and apparatus for multi-object detection

A commodity detection terminal is disclosed, the commodity detection terminal includes: an image segmentation unit configured to obtain position information of each grid of a goods shelf in an image of the goods shelf based on a first image, which is an image of the goods shelf not placed with commodities; a detector unit configured to obtain a current grid where each commodity is located and a current quantity of each commodity based on a second image, which is a current image of the goods shelf placed with commodities; and a determination unit configured to compare the current grid and the current quantity with a preset grid and a preset quantity of the each commodity, so as to determine whether a status of each commodity satisfies a preset condition. A commodity detection method, an intelligent goods shelf system, a computer device, and a readable medium are also disclosed.

Commodity detection terminal, commodity detection method, system, computer device, and computer readable medium

The present disclosure provides an age recognition method, a non-transitory computer-readable storage medium, and an electronic device. The method includes extracting feature points of a face in an image, preprocessing the image to extract global features of the face, extracting local features of the face based on the feature points, determining an age feature of the face according to the global features and the local features, and inputting the age feature into a pre-trained age recognition model to obtain an age value corresponding to the face in the image.

Age recognition method, storage medium and electronic device

The present disclosure provides a line segment detection method, apparatus, device, and a computer-readable storage medium. Said method includes: extracting image features of an image to be processed, the image features including an image gradient angle and an image gradient amplitude; determining a plurality of seed points based on the extracted image features; for each seed point of the plurality of seed points, determining a current connected region of respective seed point according to a region growth rule, wherein the region growth rule needs to satisfy both a gradient amplitude growth rule and a gradient angle growth rule simultaneously; and performing line segment fitting on line segments within the current connected region of respective seed point.

Line segment detection method, apparatus, device, and computer-readable storage medium

The present invention provides an age recognition method, a computer program and an electronic device. The method comprises: acquiring a face image to be recognized; extracting face characteristic points in the face image to be recognized, and characteristic point coordinates of the face characteristic points in the face image to be recognized; extracting face global features from the face image to be recognized according to the characteristic point coordinates; extracting face local features from the face image to be recognized according to the face characteristic points; and determining an age recognition result corresponding to the face image to be recognized according to the face global features, the face local features and an age recognition model obtained by pre-training.

Age recognition method, computer storage medium and electronic device

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.

Computer-implemented method of detecting foreign object on background object in an image, apparatus for detecting foreign object on background object in an image, and computer-program product

Growing community of inventors

Beijing, China

Huanhuan Zhang