Video Segment Identification for Contextual Content Delivery
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Solution Overview
Problem
Current television systems lack the ability to identify video segments being viewed and provide contextually targeted content, limiting their interactive functionality to strictly pull-based services due to the loss of metadata during content distribution.
Innovation Solution
The system identifies video segments by sampling pixel or audio data and matching it with a content database, determining the offset time, and providing contextually targeted content based on this information, enabling deeper viewer engagement and interactive features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If television systems use traditional broadcast streams without video segment identification, then the system complexity remains low, but the ability to provide contextually targeted content and interactive functionality is limited
Solution Approach 1:
The patent segments the video content into identifiable segments with unique identifiers embedded in the broadcast stream. This allows the system to recognize and respond to specific segments (such as commercials or program sections) without requiring complete video analysis, thereby providing contextual targeting capabilities while maintaining manageable system complexity through structured content division.
Solution Approach 2:
The patent introduces an intermediary component (video segment identification system) that sits between the broadcast stream and the television display. This intermediary captures segment identifiers from the broadcast, matches them against a database, and triggers appropriate contextual content delivery, thereby enabling advanced functionality without requiring the entire television system to be fundamentally redesigned.
2Productivity
If television systems implement real-time video segment identification and contextual content delivery, then viewer engagement and revenue opportunities increase, but the processing requirements and system complexity increase
Solution Approach 1:
The patent performs preliminary actions by pre-segmenting video content and embedding identifiers during the broadcasting process. This allows the receiving television system to simply recognize and respond to pre-marked segments rather than performing complex real-time video analysis, thereby enabling interactive functionality and enhanced viewer engagement while keeping the processing requirements at the receiving end manageable.
3Measurement precision
If television systems sample and analyze pixel or audio data to identify video segments, then the precision of segment identification improves, but the use of energy and processing power increases
Solution Approach 1:
The patent extracts only the essential segment identification information (such as embedded identifiers or key frame features) from the video stream rather than analyzing complete pixel or audio data. This extraction approach maintains sufficient identification accuracy for contextual targeting while dramatically reducing the energy and processing power required compared to comprehensive video analysis.
Data Source
AI summary
Systems and methods for identifying which video segment is being displayed on a screen of a television system. The video segment is identified by deriving data from the television signals, the derived data being indicative of the video segment being displayed on the screen. This feature can be used to extract a viewer's reaction (such as changing the channel) to a specific video segment (such as an advertisement) and reporting the extracted information as metrics. The systems and methods may further provide contextually targeted content to the television system. The contextual targeting is based on not only identification of the video segment being displayed, but also a determination concerning the playing time or offset time of the particular portion of the video segment being currently displayed.