Line Pattern Encoding via Segmentation and Quantization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for extracting valuable data from large datasets, such as time series charts, are inefficient due to their complex nature, which does not lend well to database queries, making it difficult to sift through irrelevant information to find relevant data.
Innovation Solution
A method of encoding line pattern representations by segmenting them into multiple segments and ranges, assigning quantized values based on changing values, and categorizing them using these encodings, allowing for quick and accurate categorization of large volumes of line representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If database queries are used to extract information from time series charts, then data with identified properties can be efficiently retrieved, but complex line representations that do not lend themselves well to database queries cannot be effectively processed
Solution Approach 1:
The line pattern representation is segmented into multiple segments along the second dimension (x-axis). Each segment is independently encoded by assigning a quantized value based on the changing value in the first dimension (y-axis) within that segment. This segmentation allows complex continuous line representations to be broken down into discrete, queryable units that can be efficiently stored and retrieved in database structures.
2Measurement precision
If the number of segments and ranges is increased to improve categorization accuracy, then more detailed categorization is achieved, but the complexity of the encoding process increases
Solution Approach 1:
The patent changes the parameter of segmentation granularity by allowing adjustment of the number of segments along the second dimension and the number of ranges along the first dimension. This enables flexible control over categorization precision - increasing segments and ranges improves accuracy, while reducing them simplifies the encoding process. The system can adapt the level of detail based on specific application requirements.
Data Source
AI summary
The encoding of a line pattern representation. The line pattern representation has a changing value in a first dimension as a function of a value in a second dimension. The line pattern representation is segmented into multiple segments along the second dimension. The line pattern representation is then encoded by assigning a quantized value to each of the segments based on the changing value of the line pattern in the first dimension as present within the corresponding segment. If the line pattern generally falls within a given range within a segment, the segment will be assigned a quantized value corresponding to that range. The encoding may be used to assign the line pattern representation into a category.