Semantic Media Matching via Web Context Analysis
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Solution Overview
Problem
Existing methods for delivering relevant media content to web pages are time-consuming, prone to errors, and fail to account for frequent changes in web site content, requiring manual configuration and analysis, which is inefficient and often impossible to maintain dynamically.
Innovation Solution
A system that automatically analyzes video content, crawls web pages to identify changes, and uses metadata comparison and matching engines to dynamically embed relevant media content, leveraging user-generated tags and knowledge bases to provide real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration and analysis are used to deliver relevant media content, then customization and relevance can be achieved, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical operations (programmer entry, manual determination of content) with an automated content analysis system that uses web crawlers, natural language processing, and machine learning algorithms to analyze web page content and automatically deliver relevant media content, thereby eliminating time-consuming manual processes while maintaining or improving content relevance accuracy
Solution Approach 2:
The system enables the web content delivery process to serve itself by automatically analyzing web page content, identifying relevant media content from databases, and delivering appropriate content without requiring manual intervention from programmers or content managers, thus resolving the contradiction between accuracy and time efficiency
2Adaptability or versatility
If manual operations are used to update media content frequently, then content can be customized, but the frequency of updates becomes impractical
Solution Approach 1:
The patent replaces manual update operations with an automated system that continuously crawls web pages, analyzes content changes in real-time, and automatically updates media content delivery based on detected changes, enabling high-frequency updates without increasing operational complexity since the system operates autonomously
Solution Approach 2:
The system implements continuous monitoring and automatic updating of media content by maintaining persistent web crawlers that constantly scan for changes and immediately trigger content updates when changes are detected, thereby achieving practical high-frequency updates without requiring repeated manual operations
3Productivity
If automated content analysis is implemented, then real-time updates can be achieved, but system complexity increases
Solution Approach 1:
The patent divides the automated content analysis system into distinct modular components including web crawlers for content collection, natural language processing modules for content analysis, database systems for media content storage, and delivery mechanisms for content distribution, allowing each component to be independently optimized and managed while achieving real-time update capabilities
Solution Approach 2:
The system employs multi-functional components that can perform multiple operations - for example, the content analysis engine not only analyzes web page text but also extracts entities, determines content categories, and identifies relevant media content types, thereby achieving real-time updates through unified components rather than separate specialized systems that would increase complexity
Data Source
AI summary
A method, apparatus, system, article of manufacture, and computer readable storage medium provide media content. A web page context for a web page is determined and stored in a database. One or more media content files are analyzed to extract information that is stored in the database. The information is compared to the web page context. A matching media content file is determined from the one of the one or more media content files that matches the web page context based on the comparison. The matching media content file is then provided (e.g., to an internet portal web site).