Real-Time Video Segmentation and Indexing System
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Solution Overview
Problem
Current video broadcasting systems lack real-time indexing and delivery of segmented video content, making it difficult for users to access timely information, especially with localized content and high costs associated with internet-based solutions like IPTV, which also face challenges in providing context-sensitive advertising and efficiently utilizing mobile device formats.
Innovation Solution
The system captures and segments video content in real-time, creating a searchable index based on topics, allowing for customized video queues tailored to user interests using social graph data and manual profiles, enabling immediate notification and delivery of relevant content, and providing a rich data source for advertisers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video content is delivered through traditional broadcast television, then localization and coverage are maintained, but real-time indexing and on-demand access are not available
Solution Approach 1:
The patent segments video content into discrete clips based on topic changes detected through audio analysis. This segmentation enables individual clips to be indexed, stored, and delivered independently, allowing users to access specific topics of interest without needing to watch entire programs, thus enabling on-demand access while maintaining information availability.
Solution Approach 2:
The patent introduces an intermediary system that bridges traditional broadcast television and internet-based delivery. The system captures broadcast content, processes it through topic detection and segmentation, indexes the segments, and then delivers them via internet protocols. This intermediary architecture enables on-demand access to broadcast content without replacing the original broadcast infrastructure.
2Ease of operation
If IPTV is used to deliver content on-demand, then access flexibility is improved, but bandwidth costs and infrastructure expenses increase significantly
Solution Approach 1:
The patent applies local quality by delivering video content in segmented clips rather than continuous streams. This allows the system to deliver only the specific topic segments that users request, rather than transmitting entire programs or maintaining constant broadband connections. The localized delivery of relevant content segments reduces overall bandwidth consumption while maintaining on-demand access capability.
3Loss of information
If manually generated program titles and tags are used for indexing, then content organization is achieved, but processing delays occur that prevent real-time results
Solution Approach 1:
The patent implements self-service indexing by automatically analyzing audio content to detect topic changes and generate segment metadata without human intervention. The system uses audio signal processing to identify topic transitions, automatically creates clip segments, and generates index entries in real-time. This automated approach eliminates the manual indexing process entirely, achieving both comprehensive content organization and real-time processing capability.
4Quantity of substance
If long-form program formats are used for mobile device delivery, then content completeness is maintained, but user engagement and device compatibility decrease
Solution Approach 1:
The patent segments long-form video content into shorter topic-based clips suitable for mobile device consumption. Each clip represents a complete topic or segment of interest, allowing users to consume content in manageable portions appropriate for mobile viewing habits. The complete program content is preserved in the system, but delivered in segmented form that matches mobile device usage patterns and user attention spans.
Data Source
AI summary
Disclosed embodiment providing for the capture of video content. The video content is segmented in real-time into clips by topic, and those clips are delivered as customized queues of video items relevant to the consumer according to their interests as aggregated from their social graph data and manual entry.