Targeted Integrated Image Creation for Digital TV
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Solution Overview
Problem
In the digital television industry, broadcast barkers are ineffective as they are not targeted to individual user preferences, often presenting uninteresting or offensive content to viewers, leading to a lack of enticement for specific advertised content.
Innovation Solution
A method and apparatus that determine user preferences based on viewing habits and content ordering history to create targeted integrated images, such as barkers, which are tailored and delivered to users, combining them with other relevant content for a personalized viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If broadcast barkers are used to advertise content to all viewers, then the delivery mechanism is simple and cost-effective, but the content becomes uninteresting or offensive to individual viewers, reducing effectiveness
Solution Approach 1:
The patent segments the homogeneous broadcast audience into individual user profiles based on viewing habits and preferences. Each user receives personalized barker content tailored to their specific interests, transforming the one-size-fits-all broadcast approach into customized narrowcast delivery that maintains simplicity while improving relevance.
Solution Approach 2:
The system performs preliminary analysis of user viewing habits and preferences before delivering barker content. By pre-processing user data and creating personalized profiles in advance, the system can automatically select and deliver relevant barkers without real-time complexity, maintaining ease of delivery while achieving personalization.
2Reliability
If targeted barkers are created based on user preferences, then user engagement and effectiveness improve, but the system complexity increases due to preference tracking and content selection
Solution Approach 1:
The system employs self-service mechanisms where user preferences are automatically tracked and updated based on viewing habits without manual intervention. The automated preference analysis and barker selection processes eliminate the need for complex manual configuration, reducing system complexity while maintaining high effectiveness through continuous learning and adaptation.
Solution Approach 2:
The system implements feedback loops that continuously monitor user responses to barker content and adjust future content selection accordingly. This automated feedback mechanism improves reliability by ensuring content remains relevant while simplifying the system through algorithmic decision-making rather than complex manual control structures.
3Device complexity
If all viewers receive the same broadcast barkers, then the transmission infrastructure remains simple, but users are bombarded with uninteresting content that may be offensive, reducing user experience
Solution Approach 1:
The patent applies local quality by delivering different barker content to different users based on their individual preferences and viewing habits. Instead of uniform broadcast content, each user receives locally optimized content that matches their specific interests, eliminating offensive or uninteresting material while maintaining simple transmission infrastructure through automated content selection.
Data Source
AI summary
A targeted integrated image is created for delivery to a user. Content of potential interest to the user is determined based on at least one user preference. This determination may be made prior to or during the user's request for an image, such as video content, or while the user is receiving an image, such as a menu or programming guide. An image representing the content of potential interest to the user, such as a barker is selected and combined with another image of interest to the user to form a targeted integrated image for delivery to the user. The user preference may include information representing content viewing habits or content ordering habits of the user. The user preferences may be associated with the identity of the user.