Real-Time Closed Caption Extraction and Alerting System
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Solution Overview
Problem
Current systems lack the capability to monitor and analyze real-time or near real-time closed captions from multiple TV channels for keywords or concepts, and fail to efficiently deliver alerts and data over lower speed networks, while also providing limited search and indexing capabilities for video content.
Innovation Solution
The system extracts and indexes near real-time closed captions from video broadcasts, embeds Advertisement Tag Codes for advertising campaign analysis, and delivers alerts and data through SMS, email, and social media, using a distributed or centralized environment that includes cloud services and various devices, enabling users to assemble personalized clips and analyze advertising effectiveness across multiple media platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If automated real-time extraction of closed captions from multiple TV channels is implemented, then monitoring capability for keywords and concepts is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system divides the monitoring task into separate modules: caption extraction module, keyword matching module, alert generation module, and data delivery module. Each module handles a specific function, allowing the complex monitoring task to be managed through independent, manageable components that can process multiple channels simultaneously.
Solution Approach 2:
The patent introduces intermediate processing layers including caption extraction software that converts broadcast captions into machine-readable format, and a central processing system that acts as an intermediary between multiple TV channels and the user's analysis tools. This intermediary structure enables automated real-time monitoring without requiring direct complex connections between all system components.
2Loss of time
If real-time or near real-time extraction is performed, then alert timeliness is improved, but processing load and resource consumption increase
Solution Approach 1:
The system performs partial processing by extracting only relevant caption data that matches predefined keywords or concepts rather than processing all broadcast content in full detail. This selective approach provides timely alerts for important events while reducing overall processing load and resource consumption by focusing computational efforts only on relevant segments.
Solution Approach 2:
The patent implements periodic sampling and batch processing mechanisms where captions are extracted and analyzed at regular intervals rather than continuously processing every millisecond of broadcast data. This periodic approach maintains alert timeliness for significant events while reducing sustained processing load through efficient use of computational resources over time.
3Adaptability or versatility
If data is delivered over lower speed networks, then network compatibility is improved, but data transmission speed and bandwidth decrease
Solution Approach 1:
The system extracts and delivers only essential data elements (keyword matches, alert notifications, summary statistics) rather than transmitting complete caption streams or full video content. This extraction approach ensures compatibility with lower speed networks by reducing data volume while maintaining the core functionality of real-time monitoring and alerting capabilities.
Solution Approach 2:
The patent implements dynamic data formatting that adjusts transmission parameters based on network capabilities. Data is compressed, formatted in efficient protocols, and transmitted at optimized rates that adapt to lower speed networks while preserving the integrity and timeliness of alert information. This parameter adjustment maintains network compatibility without completely sacrificing transmission speed for critical alerts.
Data Source
AI summary
System and methods for finding and analyzing targeted content from audio and video content sources, including means and methods for extracting captions from audio and video content sources; searching the captions for a mention of at least one target; extracting audio and video segments relating to the at least one target; delivering extracted audio and video segments to a user device; harvesting social media data relevant to the at least one target; analyzing the search results in correlation with the social media data for target content.