Picture-in-Guide Video Clip Sequencing for Media Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Media guidance applications face challenges in efficiently navigating and promoting content to users, particularly in presenting a sequence of video clips associated with future television programs in a picture-in-guide (PIG) display, while allowing user customization and interaction.
Innovation Solution
The media guidance application identifies future videos scheduled for a selected channel, generates a sequence of video clips based on user preferences and interests, and allows users to manipulate the sequence, including toggling between live programming and full-screen views, with options to record, tune, or schedule reminders for selected clips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a sequence of video clips is displayed in the picture-in-guide window to promote future programming, then user engagement and content promotion effectiveness are improved, but the complexity of the media guidance application increases
Solution Approach 1:
The application divides future programming content into discrete video clips that can be individually selected, displayed, and managed in the picture-in-guide window. Each clip represents a segment of future content that can be independently promoted, allowing the system to manage complexity through modular organization of content promotion elements.
Solution Approach 2:
The system pre-identifies and prepares video clips from future programming schedules before user interaction. By generating the sequence of clips in advance based on the selected channel's future content, the application reduces real-time processing complexity while maintaining effective content promotion capability.
2Ease of operation
If the application allows users to manipulate the video clip sequence and toggle between live programming and full-screen views, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The picture-in-guide window serves multiple functions: displaying video clips from future programming, showing live programming, and providing a transition interface to full-screen views. This multi-functionality consolidates what would otherwise require separate interfaces into a single unified window, improving ease of operation without proportionally increasing complexity.
Solution Approach 2:
The application implements dynamic switching between different display modes (picture-in-guide and full-screen) and allows users to manipulate the video clip sequence in real-time. These dynamic capabilities enable flexible user interaction while the system manages the complexity through state-based control of the display modes.
3Adaptability or versatility
If personalized content promotion is implemented by selecting clips based on user profiles and interests, then content relevance is improved, but processing time and complexity increase
Solution Approach 1:
The application performs preliminary filtering and selection of video clips based on user profiles and interests when the picture-in-guide window is first activated or when the channel is selected. By pre-processing the clip selection using stored user preference data, the system reduces the time required for real-time personalization while maintaining content relevance.
Solution Approach 2:
The system uses stored user profile data and interest preferences as templates to automatically match and select appropriate video clips. Instead of analyzing user preferences in real-time for each clip selection, the application copies and applies pre-established user preference patterns to quickly identify relevant clips from the future programming schedule.
Data Source
AI summary
Systems and methods for providing a sequence of video clips are provided. A user input identifying a source of video is received. Responsive to the user input, a plurality of future videos provided by the source that is unavailable to the user at a time when the user input was received is identified. A sequence of video clips associated with the identified plurality of future videos is generated.