Rendering Multiple-Resolution Samples by Omitting Overlapped Lower-Resolution Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer systems face inefficiencies when processing data sets with multiple resolutions, as they often render redundant lower-resolution samples that are overlapped by higher-resolution samples, leading to unnecessary processing and increased computational resources.
Innovation Solution
A method is introduced to determine whether higher-resolution samples overlap lower-resolution samples before rendering, allowing for the omission of redundant lower-resolution samples, thereby improving processing efficiency by rendering only non-overlapping samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the computer system renders all samples including lower-resolution samples, then complete coverage of the data set is achieved, but processing time and computational resources are wasted on redundant lower-resolution samples that are overlapped by higher-resolution samples
Solution Approach 1:
The patent applies preliminary action by performing overlap detection before rendering samples. The system identifies which lower-resolution samples are overlapped by higher-resolution samples in advance, marks them for omission, and then proceeds to render only the non-overlapped samples. This pre-processing step prevents wasted rendering operations on redundant data, directly improving rendering efficiency while reducing processing time.
2Loss of information
If the computer system processes multiple resolutions of the same data unit, then higher information quality is achieved, but redundant processing of overlapping samples increases computational overhead
Solution Approach 1:
The patent applies local quality by treating different regions of the data set differently based on their resolution characteristics. Instead of uniformly processing all samples, the system identifies regions where higher-resolution samples exist and omits lower-resolution samples only in those specific local areas. This allows the system to maintain high information quality in regions where it matters while avoiding redundant processing, thus reducing computational overhead without sacrificing overall information quality.
Data Source
AI summary
A data set may be represented by samples of multiple resolutions, such as an image represented by pixels of various resolutions. When such multiple-resolution samples are potentially overlapping, it may be inefficient to render both a lower-resolution sample and also the plurality of higher-resolution samples that overlap the lower-resolution sample. Conversely, it may be more efficient to determine, before rendering a sample representing a particular data unit, whether the sample is overlapped by available higher-resolution samples that represent the same data unit. Techniques are disclosed for making this determination in an efficient manner, and for acting upon the determination to achieve improved efficiency in the rendering of the data set.