Dynamic Picture-in-Picture Resizing for Event Importance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media systems fail to adjust the size of content on a display based on the relative importance of the content, leading to users missing important events in smaller picture-in-picture windows during live broadcasts.
Innovation Solution
A media guidance application that determines the relative importance of events in live and catch-up media based on user profiles and preferences, adjusting the size of the content on the display accordingly, such as increasing the size of more important events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the replay is displayed in a small picture-in-picture window to minimize obstruction of the live video, then the live video remains mostly visible, but important content in the replay window may be missed by the user
Solution Approach 1:
The system dynamically adjusts the size of the replay window based on the importance of events detected in the replay content. When important events (such as goals, touchdowns, or significant plays) are detected, the replay window automatically expands to provide larger viewing area, ensuring users do not miss important information while maintaining the ability to view live video content.
2Loss of information
If the replay window is made larger to ensure important content is visible, then important replay content is not missed, but the live video becomes more obscured
Solution Approach 1:
The system uses dynamic window resizing that responds to event importance detection. The replay window size is not fixed but adapts in real-time based on the detected significance of events, allowing the system to optimize between live video visibility and replay content visibility on a per-event basis.
Solution Approach 2:
The system applies different display qualities to different portions of the content based on their importance. Important events in the replay receive enhanced display attention with larger window size, while less important events maintain minimal window size, creating a differentiated viewing experience tailored to content significance.
3Ease of operation
If the system automatically determines and adjusts content size based on event importance, then important events are highlighted appropriately, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting event importance and adjusting display parameters without requiring user intervention. The media guidance application autonomously analyzes replay content, identifies significant events, and modifies window sizes accordingly, freeing users from manual control while reducing the need for complex user interface configurations.
Solution Approach 2:
The system incorporates feedback loops where the media guidance application continuously monitors the replay content, detects events, evaluates their importance based on user profiles and event characteristics, and adjusts the display accordingly. This closed-loop feedback mechanism enables automatic adaptation to content significance while managing system complexity through structured decision-making processes.
Data Source
AI summary
Systems and methods are described herein for providing a media guidance application that resizes content based on a relative importance of the content. For example, a display may have first and second content generated for display. If the first content is more important to a user than the second content, a size of the first content will be increased with respect to a size of the second content on the display. If the second content is more important to the user than the first content, then a size of the second content will be increased with respect to a size of the first content on the display.