34 results about "Visual analytics" patented technology

A system and method for visually displaying and analyzing criminal and/or public health and safety data for geospatial and/or time variations, including the collection of incident data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method and displaying the result to a user via a visual analytics arrangement.

Certain examples provide systems, methods, and apparatus for patient care and care transition support. The example system includes a strategy development and simulation tool to analyze a patient care plan and transitions of care within the care plan to develop and analyze a strategy for the transitions of care within the care plan. The example system includes a discharge planning tool including predictive analytics to provide scenario-based planning and visualization to develop the care plan for patient discharge. The example system includes visual analytics to track and display progress of the patient against the care plan for the patient. The example system includes an outcome tracker to measure care plan efficacy to provide feedback for the patient care plan and future care plans.

Multi-dimensional temporal data can provide insight into patterns, trends and correlations. Traditional 2D-charts are widely used to support domain analysts' work, but are limited to present large-scale complicated data intuitively and do not allow further exploration to gain insight. A visual analytics system and method which supports interactive analysis of multi- dimensional temporal data, incorporating the idea of a novel visualization method is provided. The system extends the ability of mapping techniques by visualizing domain data based on a 3D geometry enhanced by color, motion and sound. It allows a compact universal overview of large-scale data and drilling down for further exploration. By customizable visualization, it can be adapted to different data models and applied to multiple domains. It helps analysts interact directly with large-scale data, gain insight into the data, and make better decisions.

Generally, methods and apparatus are provided for obtaining a user's insight provenance. A logical record of visual analytic activity of a user is maintained by recording one or more visual analytic actions. An exemplary method determines a set of action features of the one or more visual analytic actions; instantiates a data structure to record the action features; calculates a set of operations required to update the logical record based on the determined features; and updates the logical record based on the calculated operations. The visual analytic actions can optionally be classified using a predefined action taxonomy and by recording other action features. A plurality of the data structures can be associated with a node in a trail graph that represents one or more analytical paths of the user.

The visual analytic system enables information retrieval within large text collections. Typically, users have to directly and explicitly query information to retrieve it. With this system and process, the reasoning of the user is inferred from the user interaction they perform in a visual analytic tool, and the appropriate information to query, process, and visualize is systematically determined.

The invention discloses an embedded-type intelligent monitoring system for automatically detecting a moving target. The monitoring system comprises a video input device, a visual analytic system and a network input and output device. In order to detect the moving target with high precision on the highly real-time basis, the system adopts a method for realizing the real-time detection of the moving target by using a real-time visual analytical algorithm. The method is divided into two stages: a training stage and a detection stage. The obtained video data are divided into a stability area and a dynamic area by the system in the chroma and illumination space, the simple and rapid self-adopting signal Gaussian model is adopted in the stability area and the non-parametric model with complex calculations and high efficiency is adopted in the dynamic area. The system has the advantages of simple structure, high real-time degree and high precision, high expandability and multimeshed network access function, and effectively realizes the real-time detection function of the moving target.

A system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a given visual analytic. A first user selection is received in a data processing apparatus for a chart. A chart type associated with the first user selection is identified for the chart. One or more visualization strategies are accessed from a strategy pool database based on the chart type. A second user selection is received in the data processing apparatus for a two-dimensional dataset from a data provider in communication with the data processing apparatus. The two-dimensional dataset is analyzed to determine a best strategy from the one or more visualization strategies accessed from the strategy pool database. Metadata representing the two-dimensional dataset is generated based on the best strategy, and a display representing the metadata is generated to visualize the two-dimensional dataset according to the best strategy.

A system and method described herein is effective for generating automated visual analytics and player statistics for videos of sporting events. A dataset of videos is collected that comprises multiple teams. Training the networks on RGB and grayscale images affects the generalization ability of the network learned and augmenting more images using generative adversarial networks to the dataset helps further improves the performance.

The network switching appliance that receives, compresses, decompresses and analyses any raw video stream emitting from image acquiring device such as a surveillance camera using Artificial Intelligence (AI). The network switching device is a low cost, low power device that is capable of receiving a transmitted video stream, performing image detection/recognition tasks, and transmitting an annotated video stream along with meta-data attached to the specific video stream and images to understand the visual content of the video stream.

A system and method for visually displaying and analyzing public health data for geospatial and/or time variations, including the collection of symptom data coupled with geographic and time data, filtering the symptom data based upon a selected time period and geographic range, and creating a visual result based upon statistical modeling including power transform and/or data normalization. According to at least one embodiment, the system for visually displaying and analyzing includes selecting and performing at least one aberration detection method such as applying CUSUM analysis, quantile measures, and/or bootstrapping analysis, and displaying the result to a user via a visual analytics arrangement.

Various embodiments provide a multi-channel collaborative visual analytics (CVA) system, method and computer program product for coordinating collaborative data exploration. The system comprises a central CVA server and a plurality of client devices. The CVA server has a plurality of local channels and a global channel. Each client device is coupled to one or more local channels of the central CVA server by one or more WebSockets and communicates state change event data of a distributed-web-connected application to the central CVA server. The central CVA server manages both real-time delivery and recorded playback of the state change events for the plurality of client devices. The CVA system further comprises a persistent store that stores the state change events from the plurality of client devices for deferred playback.

The invention discloses a method and a system for realizing dynamic and visual check of a variable. The system comprises a resolver library, a design mode module and a run mode module, wherein the design mode module is in communication linkage with the resolver library; the resolver library is in communication linkage with the run mode module; a visual analytic function is configured for the variable according to variable information and the variable information is stored in the resolver library together with the visual analytic function; the variable information and the visual analytic function are acquired from the resolver library and the visual analytic function is used for analyzing the variable; and character string information obtained by after analyzing the variable is transmitted to a check terminal. The visual analytic function is configured to analyze the variable, so the variable checking efficiency is greatly improved and the data checking flexibility is increased. Particularly, a mode of only analyzing one type of variables by one visual analytic function is adopted, so the variable checking stability is further enhanced.

A method and system for processing datasets having a number of data points are described. A tree corresponding to the dataset and having multiple levels is provided. Each level includes a portion of the number of data points organized into tile(s). The levels are based on the number of data points and client resource(s). A manifest indicating a particular number of data points in each tile for each level of the tree is provided and sent to a client. A request for a portion of the tile(s) of a level of the plurality of levels is received from the client. The portion of the tile(s) corresponds to a portion of the dataset and is determined based on the manifest. The portion of the tile(s) includes not more than a maximum number of data points corresponding to the at least one client resource.

A visual analytics method and system is disclosed for visualizing an operation of an image classification model having at least one convolutional neural network layer. The image classification model classifies sample images into one of a predefined set of possible classes. The visual analytics method determines a unified ordering of the predefined set of possible classes based on a similarity hierarchy such that classes that are similar to one another are clustered together in the unified ordering. The visual analytics method displays various graphical depictions, including a class hierarchy viewer, a confusion matrix, and a response map. In each case, the elements of the graphical depictions are arranged in accordance with the unified ordering. Using the method, a user a better able to understand the training process of the model, diagnose the separation power of the different feature detectors of the model, and improve the architecture of the model.