Bank of america corporation (20240244293). SYSTEMS, METHODS, AND APPARATUSES FOR ANALYZING, USING AI ENGINES, RESOURCES DEPICTED IN AUDIO VISUAL CONTENT simplified abstract

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SYSTEMS, METHODS, AND APPARATUSES FOR ANALYZING, USING AI ENGINES, RESOURCES DEPICTED IN AUDIO VISUAL CONTENT

Organization Name

bank of america corporation

Inventor(s)

Joseph Benjamin Castinado of North Glenn CO (US)

Hope Barus of Fort Mill SC (US)

Oscar Guzman of Dallas TX (US)

Brandon Ingram of Charlotte NC (US)

Naoll Addisu Merdassa of Chakopee MN (US)

Kevin Graham Robberts of Charlotte NC (US)

SYSTEMS, METHODS, AND APPARATUSES FOR ANALYZING, USING AI ENGINES, RESOURCES DEPICTED IN AUDIO VISUAL CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240244293 titled 'SYSTEMS, METHODS, AND APPARATUSES FOR ANALYZING, USING AI ENGINES, RESOURCES DEPICTED IN AUDIO VISUAL CONTENT

The abstract of this patent application describes a system that uses artificial intelligence engines to analyze audio-visual content, extract information about resources depicted in the content, and embed that information back into the content.

  • The system determines when a user accesses audio-visual content, analyzes the content frame by frame to identify resources, and then crawls third-party systems associated with those resources.
  • It extracts information about the resources from the third-party systems and embeds that information back into the original audio-visual content.

Potential Applications: - Content recommendation systems - Enhanced user experience in streaming platforms - Targeted advertising based on content analysis

Problems Solved: - Efficient extraction and embedding of resource information in audio-visual content - Seamless integration of third-party data into the viewing experience

Benefits: - Personalized content recommendations - Improved user engagement - Enhanced monetization opportunities for content providers

Commercial Applications: Title: "AI-Powered Content Analysis System for Enhanced User Experience" This technology can be used in streaming platforms, social media networks, and online advertising to provide personalized recommendations and targeted ads based on content analysis.

Prior Art: Researchers can explore existing patents related to AI-powered content analysis, resource extraction, and personalized recommendations in audio-visual content.

Frequently Updated Research: Stay informed about advancements in AI algorithms for content analysis, data extraction techniques, and user engagement strategies in audio-visual platforms.

Questions about AI-Powered Content Analysis System: 1. How does this system differentiate itself from existing content analysis tools? This system stands out by its ability to extract resource information from third-party systems and embed it back into the original content seamlessly.

2. What are the privacy implications of using AI to analyze audio-visual content? Privacy concerns may arise regarding the collection and use of user data for personalized recommendations and targeted advertising. It is essential to ensure compliance with data protection regulations and obtain user consent for data processing.


Original Abstract Submitted

embodiments of the present invention provide a system for analyzing using artificial intelligence engines depicted in audio visual content. the system is configured for determining that a user has accessed a first audio visual content on an audio visual content providing platform, performing a frame-by-frame analysis to determine one or more resources depicted in the first audio visual content, identifying one or more third party systems associated with the one or more resources, crawling the one or more third party systems associated with the one or more resources, extracting resource information associated with the one or more resources from the one or more third party systems based on crawling the one or more third party systems, and embedding the resource information associated with the one or more resources in the first audio visual content.