Transaction Visualization Anti-Aliasing Rendering
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Solution Overview
Problem
Visualizing large volumes of transaction-related data is challenging due to processing power requirements and screen limitations, leading to slow generation and loss of detail, making it difficult to identify patterns, deviations, and anomalies effectively.
Innovation Solution
A method involving anti-aliasing and cumulative coverage scaling for pixel transparency and color representation, using multiple image buffers for efficient rendering and updating of transaction data as lines on a display, allowing for effective visualization and highlighting of unusual transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional rendering methods are used to visualize large volumes of transaction data, then the visualization can be generated, but the processing time becomes excessively long and processing power requirements become unmanageable
Solution Approach 1:
The patent divides the rendering process into discrete rendering passes, where each pass processes a subset of transactions or a specific aspect of the visualization. This segmentation allows the system to process large volumes of data in manageable chunks, improving generation speed while reducing the time loss associated with processing entire datasets at once.
Solution Approach 2:
The patent implements preprocessing steps that prepare transaction data before the actual rendering process. By organizing and pre-processing transaction data in advance, the system reduces the computational burden during the rendering phase, thereby improving visualization generation speed while minimizing time loss.
2Loss of information
If vast amounts of transaction data are visualized in detail, then comprehensive information is displayed, but screen clutter increases and physical display limitations cause loss of detail
Solution Approach 1:
The patent merges multiple transactions that share common characteristics (such as same source, destination, or time period) into single aggregated visual elements. This combining approach allows comprehensive information to be displayed without creating screen clutter, as similar transactions are represented collectively rather than individually, preserving detail while adapting to display area constraints.
Solution Approach 2:
The patent introduces additional visual dimensions such as color coding, line thickness variations, and transparency levels to encode transaction information. By moving from a two-dimensional spatial representation to a multi-dimensional visual encoding, the system can display comprehensive transaction details without increasing screen clutter, effectively overcoming display area limitations while retaining information.
3Measurement precision
If the size and resolution of displays are increased to show more detail, then more pixels are available for visualization, but human visual cognition limits are exceeded and processing requirements increase
Solution Approach 1:
The patent dynamically adjusts visual parameters such as line thickness, color intensity, and transparency based on the importance and characteristics of transactions. By changing these visual parameters rather than simply increasing display resolution, the system achieves effective visual detail that adapts to human visual cognition limits while reducing the complexity associated with high-resolution displays.
Solution Approach 2:
The patent applies different levels of visual detail and quality to different regions of the visualization based on their importance. High-priority transactions or anomaly-prone areas receive enhanced visual treatment with greater detail, while routine transactions use simpler representations. This local quality approach optimizes measurement precision where needed without unnecessarily increasing overall device complexity.
4Ease of operation
If dynamic interrogation of visualization is implemented for analysis, then useful analysis can be performed, but processing power requirements become significantly higher
Solution Approach 1:
The patent pre-computes and stores aggregated statistics, trends, and anomaly indicators during the initial rendering process. When dynamic interrogation is performed, the system queries these pre-computed results rather than recalculating from raw transaction data, thereby maintaining ease of operation for analysis while dramatically reducing processing power consumption during interactive operations.
Solution Approach 2:
The patent replaces computationally intensive real-time processing with pre-computed data structures and indexed information. By substituting mechanical computation with optimized data access and retrieval mechanisms, the system enables easy dynamic interrogation for analysis while minimizing processing power requirements during interactive operations.
Data Source
AI summary
The present invention provides a method implemented by a computer for generating an image on a display that represents a plurality of transactions as lines connecting points in the display indicative of a source and an origin for the respective transactions. For each of the lines, an anti-aliasing process is used to determine a coverage value for each pixel of the display that represents the extent to which the line covers each pixel, and a record of a cumulative coverage value for each pixel is maintained in an image buffer. When the lines have been rendered into the image buffer, the method comprises determining a maximum and a minimum of the cumulative coverage values stored in the image buffer, scaling the cumulative coverage value for each pixel, and rendering each pixel onto the display by using the scaled cumulative coverage value to determine a transparency for the pixel.