Resolution Video Generation for Unresolved Storyline Curiosity
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Solution Overview
Problem
Viewers who have not completed watching a long-running series may be left unsatisfied due to unresolved storyline curiosity, as they lack time or commitment to finish the series, necessitating a method to provide resolution without rewatching all episodes.
Innovation Solution
A system generates a resolution video incorporating unviewed episodes with storyline relevance, determined by user interaction and viewing history, allowing users to access key conclusions without rewatching the entire series.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If viewers watch all episodes of a long-running series to understand the storyline resolution, then they gain complete information about the conclusion, but they consume excessive time and effort
Solution Approach 1:
The system extracts only the essential storyline elements and resolution content from the complete series episodes, creating a condensed resolution video that contains only the necessary information about the conclusion while excluding unrelated content, thus providing complete storyline information without requiring viewers to watch all episodes
Solution Approach 2:
The system segments the series content into viewed and unviewed portions, then further segments the unviewed content to identify only the specific episodes and scenes relevant to the storyline resolution, combining these selectively to create a targeted resolution video that addresses information gaps efficiently
2Loss of information
If the system provides complete series content to unresolved viewers, then they gain full storyline context, but the content length becomes excessive and overwhelming
Solution Approach 1:
The system applies partial action by providing only the specific portion of content needed for storyline resolution rather than the complete series. It identifies and includes only the unviewed episodes and scenes that contain storyline-relevant information, excluding all other content, thus delivering adequate storyline context with minimal necessary length
3Ease of operation
If the system generates personalized resolution videos for each user, then user satisfaction increases, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically tracking user viewing history, analyzing storyline dependencies, identifying relevant unviewed content, and generating personalized resolution videos without manual intervention. This automation handles the complexity internally while providing simple, satisfying user experience with minimal interaction required
Data Source
AI summary
The present disclosure relates to systems and methods for resolving an unresolved plot or storyline of a series and resolving it. A user may not view all episodes in a series of episodes, particularly if the series runs over a long period of time, such as several years. The user may however be interested and curious to know how the series ends, with reference to a storyline that runs throughout the series. Therefore the disclosure provides methods and systems for determining if a user is interested in the resolution of an unresolved storyline and generating a resolution video for display.