QOMPLX LLC (20240220319). AUTOMATED VISUAL INFORMATION CONTEXT AND MEANING COMPREHENSION SYSTEM simplified abstract
AUTOMATED VISUAL INFORMATION CONTEXT AND MEANING COMPREHENSION SYSTEM
Organization Name
Inventor(s)
Jason Crabtree of Vienna VA (US)
Andrew Sellers of Monument CO (US)
AUTOMATED VISUAL INFORMATION CONTEXT AND MEANING COMPREHENSION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220319 titled 'AUTOMATED VISUAL INFORMATION CONTEXT AND MEANING COMPREHENSION SYSTEM
Simplified Explanation
The patent application describes a system that can analyze images and videos to understand their context and meaning, similar to human intuition. It gathers data from various sources, uses machine learning algorithms to analyze the information, and allows humans to review and adjust the results.
- Images and videos are collected from crowdsourcing portals, cameras, and remote sensing devices.
- Real-world data related to the images and videos is gathered using a deep web collection and extraction engine.
- Machine learning algorithms are used to analyze the inputs for context and meaning.
- Humans can review and adjust the outputs of the machine learning algorithms through a crowdsourcing portal.
Key Features and Innovation
- Advanced system for analyzing images and videos.
- Utilizes machine learning algorithms for context and meaning analysis.
- Incorporates human review and adjustment for improved accuracy.
Potential Applications
The technology can be used in various fields such as:
- Security and surveillance
- Content moderation
- Marketing and advertising
- Healthcare imaging analysis
Problems Solved
- Enhances the understanding of context and meaning in images and videos.
- Improves the accuracy of image and video analysis.
- Streamlines the process of reviewing and adjusting machine learning outputs.
Benefits
- Increased efficiency in analyzing large amounts of visual data.
- Enhanced accuracy in recognizing and classifying images and videos.
- Improved decision-making based on visual content.
Commercial Applications
Title: Advanced Image and Video Analysis System This technology can be applied in industries such as:
- Security and surveillance companies
- Social media platforms
- E-commerce websites
- Medical imaging companies
Prior Art
Readers can explore prior art related to image and video analysis systems, machine learning algorithms, and crowdsourcing platforms.
Frequently Updated Research
Stay updated on advancements in image and video analysis technologies, machine learning algorithms, and human-in-the-loop systems.
Questions about Image and Video Analysis
How does this system improve upon existing image and video analysis technologies?
This system enhances the accuracy and efficiency of analyzing visual data by combining machine learning algorithms with human review.
What are the potential limitations of using crowdsourcing for reviewing and adjusting machine learning outputs?
Crowdsourcing may introduce biases or inconsistencies in the review process, which could impact the overall accuracy of the analysis.
Original Abstract Submitted
a system for analyzing images and video that is capable of recognizing, classifying, and processing the context and meaning contained therein in a manner similar to human intuitive understanding of such context and meaning. images and video are gathered through a crowdsourcing portal, cameras, and other remote sensing devices. real world data relevant to the images and video is gathered using a deep web collection and extraction engine. the resulting inputs are analyzed for context and meaning using machine learning algorithms, whose outputs, or resulting models, are reviewed and adjusted by humans through a crowdsourcing or collaborative labor portal.
