Contextual Content Delivery via Video Segment Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current television systems lack the ability to identify the video segment being viewed and provide contextually targeted content, limiting their interactive capabilities.
Innovation Solution
The system identifies video segments by sampling pixel or audio data and matching it with a content database, allowing for contextual targeting based on the identified segment and its playing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If television systems use traditional broadcast reception, then basic viewing functionality is maintained, but interactive capabilities and contextual content delivery are limited
Solution Approach 1:
The system pre-processes television signals by extracting and storing metadata about video segments (such as scene descriptions, object detections, and temporal boundaries) before transmission. This preliminary action enables the television system to later identify and interact with specific segments without requiring real-time analysis, thus enhancing interactivity while maintaining basic viewing functionality.
Solution Approach 2:
The patent introduces an intermediary component (such as a set-top box or processing unit) that acts as a mediator between the broadcast signal and the television display. This intermediary extracts video segment information from the broadcast stream and makes it available for interactive operations, thereby enabling contextual content delivery without disrupting the traditional viewing experience.
2Measurement precision
If the system samples and processes video data to identify segments, then contextual targeting accuracy is improved, but processing complexity and computational resources increase
Solution Approach 1:
The system extracts only the essential and relevant features from video data for segment identification, such as key visual elements, audio cues, and metadata markers, rather than processing the entire video stream in detail. This extraction approach maintains high identification accuracy while significantly reducing processing complexity and computational resource requirements.
Solution Approach 2:
The patent employs partial processing by analyzing only specific portions or aspects of the video data that are most indicative of segment boundaries and content characteristics. This selective analysis achieves sufficient precision for contextual targeting without the computational burden of complete frame-by-frame analysis.
3Productivity
If contextually targeted content is delivered based on video segment identification, then viewer engagement is enhanced, but system implementation complexity increases
Solution Approach 1:
The patent designs the contextual content delivery system to serve multiple functions: it not only delivers targeted advertisements but also provides program information, enables interactive voting, and supports various forms of viewer participation. This multi-functionality justifies the implementation complexity by delivering measurable improvements in viewer engagement across diverse use cases.
Solution Approach 2:
The system incorporates feedback mechanisms where viewer interactions with delivered content are tracked and used to refine future content delivery. This feedback loop enhances viewer engagement over time by making content delivery more accurate and relevant, thereby justifying the initial system complexity through ongoing performance improvement.
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 file 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.