Some examples herein describe time-series recognition and analysis techniques with computer vision. In one example, a system can access an image depicting data lines representing time series datasets. The system can execute a clustering process to assign pixels in the image to pixel clusters. The system can generate image masks based on attributes of the pixel clusters, and identify a respective set of line segments defining the respective data line associated with each image mask. The system can determine pixel sets associated with the time series datasets based on the respective set of line segments associated with each image mask, and provide one or more pixel sets as input for a computing operation that processes the pixel sets and returns a processing result. The system may then display the processing result on a display device or perform another task based on the processing result.

An image rendering and coding method includes first sending, by a first processor, to-be-rendered data to a second processor; instructing the second processor to obtain first format data through rendering based on the to-be-rendered data, where the first format data is in first storage space of the second processor; instructing, by the first processor, the second processor to convert the first format data into second format data; and instructing the second processor to code the second format data into third format data, where a first data capacity of the third format data is less than a second data capacity of the second format data; and sending the third format data to a client.

Data are maintained in a distributed computing system that describe a graph. The graph represents relationships among items. The graph has a plurality of vertices that represent the items and a plurality of edges connecting the plurality of vertices. At least one vertex of the plurality of vertices includes a set of label values indicating the at least one vertex's strength of association with a label from a set of labels. The set of labels describe possible characteristics of an item represented by the at least one vertex. At least one edge of the plurality of edges includes a set of label weights for influencing label values that traverse the at least one edge. A label propagation algorithm is executed for a plurality of the vertices in the graph in parallel for a series of synchronized iterations to propagate labels through the graph.

A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

A method for using an EGL driver to create a renderable surface for an OpenGL API is provided. The EGL driver and the OpenGL API can be used with a Vulkan graphics driver, a memory, at least one processor, and a module stored in the memory including computer instruction code that is executable by the at least on processor. The method includes creating an EGL display structure; initializing the EGL display structure by querying the Vulkan driver for attributes of a physical display; choosing an EGL configuring matching the provided attributes; and creating the EGL surface. A non-transitory computer readable medium having an EGL driver with computer instruction code that is executable by a processor to create a renderable surface for an OpenGL API is also provided.

The invention provides a method for generating an ultrasound image. The method includes obtaining ultrasound data from an ultrasonic transducer array, the ultrasonic transducer array having M transducer elements. The method further includes generating N sets of image data from the ultrasound data using N random apodization functions. A minimizing function is then applied to a collection of image data, wherein the collection of image data comprises the N sets of image data. An ultrasound image is then generated based on the minimized image data.

Provided is an image processing apparatus that performs image processing on original image data based on an instruction from a terminal, the apparatus including a communication unit that performs communication with the terminal, and a processor, in which the processor acquires the original image data, performs the image processing as instructed by the terminal on the original image data, and performs, in a case in which one instruction affects another instruction among a plurality of the instructions with respect to the original image data, control of not performing the image processing in accordance with an instruction that affects a highest priority instruction.

A computer implemented method is disclosed including producing, with at least one of a computing device, an augmented reality computing device, a virtual reality computing device and a mixed reality computing device, multiple sources of data files provided in individual formats to overlay within a real-world environment, combining the multiple sources of data files into a unified data format that provides for each individual data format of the multiple sources of data files to run independently and with at least one of a spatial anchor and a temporal anchor to provide for a three-dimensional (“3D”) arrangement of the plurality of data, storing in at least one memory device the multiple sources and the at least one spatial anchor and temporal anchor, receiving, through a user interface of a viewing device, query relating to a real-world environment and displaying the 3D arrangement of the plurality of data in the viewing area of the viewing display in spatial relationship with the real-world environment as viewed in the viewing area. A computerized method and system are also disclosed.

An image processing system which corrects a text obtained by optical character recognition (OCR) using a neural network which has performed learning based on a falsely recognized portion of OCR and a text near the falsely recognized portion is provided. The image processing system acquires a neural network model which has been trained based on learning data in which first text information included in print data and second text information acquired by performing optical character recognition (OCR) processing on an image that is based on the print data are associated with each other, acquires an image obtained by a scanner, acquires third text information which is generated by performing OCR processing on the image obtained by the scanner, and outputs fourth text information according to inputting of the third text information based on the neural network model.

A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.