Insight Enterprises. has filed a patent for a method to enhance the main output of a processing application by analyzing video data through two pipelines, optimizing parameters, and adjusting preprocessing based on test outputs. This innovation aims to improve inference accuracy in video processing applications. GlobalData’s report on Insight Enterprises gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Insight Enterprises, Holographic HUDs was a key innovation area identified from patents. Insight Enterprises's grant share as of January 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Method for improving video processing output through parameter optimization
The patent application (Publication Number: US20240040108A1) describes a method and system for improving the main output of a main processing application that analyzes video data. The method involves analyzing incoming video data through two processing pipelines - one for the main processing application and the other for a test processing application. The test processing application uses test preprocessing parameters to determine a test output, which is compared to a baseline criterion. If the test output meets the criterion, the preprocessing parameters for the main processing application are adjusted to match the test parameters, enhancing the main output's accuracy or reducing latency.
The system includes a first processing pipeline with preprocessing parameters, a main processing application, and a second processing pipeline with test preprocessing parameters, a test processing application, and a parameter optimization module. This module compares the main output, test output, and preprocessing parameters, adjusting the main preprocessing parameters if the test output meets the baseline criterion. The system also includes a configuration file for defining preprocessing parameters and a computer processor for executing the processing applications. Additionally, if the test output fails to meet the criterion, the test preprocessing parameters are replaced with different parameters for further analysis. This method and system aim to optimize the main output of the processing application by dynamically adjusting preprocessing parameters based on test results, ultimately improving accuracy or reducing latency in video data analysis.
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