Media Guidance Application for Automatic Overlap Skipping
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Solution Overview
Problem
Conventional media systems force users to manually skip or fast-forward through overlapping content, leading to frustration and wasted time.
Innovation Solution
A media guidance application identifies overlapping content by comparing user profiles and media assets, automatically skipping or fast-forwarding through matching portions during playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional systems present complete media content to users, then content完整性 is maintained, but user time is wasted on overlapping content
Solution Approach 1:
The system performs preliminary detection of overlapping content by comparing media assets before playback. User profiles and media metadata are analyzed in advance to identify overlapping portions, allowing the system to pre-calculate skip points and prepare edited versions of media content. This preliminary action eliminates the need for users to manually detect and skip overlapping content during playback.
Solution Approach 2:
The system creates copied versions of media assets with overlapping content removed or marked for skipping. Instead of modifying the original media files, the system generates edited copies that have overlapping portions excised or timestamped for automatic skip functionality. These copied versions are then presented to users, providing a seamless viewing experience without requiring manual intervention.
2Ease of operation
If manual fast-forwarding is required for overlapping content, then content completeness is preserved, but user experience deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting overlapping content and executing skip actions without user intervention. The media player monitors playback progress, compares current content against the user's viewing history stored in profiles, and automatically fast-forwards through identified overlapping portions. This self-service mechanism eliminates the need for users to manually fast-forward, significantly improving ease of operation and reducing time loss.
Solution Approach 2:
The system implements feedback loops where user viewing behavior is continuously monitored and fed back into the overlap detection algorithm. As users consume media content, their viewing patterns and skip behaviors provide feedback that refines the system's ability to accurately identify overlapping content. This feedback mechanism improves the precision of automatic skip points over time, enhancing user experience through increasingly accurate overlap detection.
3Productivity
If overlapping content is removed automatically, then user experience improves, but processing requirements increase
Solution Approach 1:
The system applies local quality by focusing processing efforts only on potentially overlapping portions of media content rather than analyzing entire media assets uniformly. By using metadata, timestamps, and structured content information, the system identifies specific local regions (scenes, segments, or time ranges) that are likely to overlap and concentrates its comparison algorithms on these areas. This localized approach significantly reduces processing energy requirements while maintaining accurate overlap detection.
Solution Approach 2:
The system segments media content into manageable units such as scenes, episodes, or time-based segments for comparison purposes. Instead of comparing entire media files in one operation, the system divides content into smaller segments that can be processed independently and in parallel. This segmentation reduces the computational burden on any single processing operation, lowering energy consumption while enabling comprehensive overlap detection across the entire media library.
Data Source
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AI summary
Methods and systems are described for a media guidance application that enhances the viewing experiences of users consuming a sequence of media. In particular, the media guidance application may enhance the viewing experiences of users consuming a sequence of media by removing portions of redundant media that were previously consumed by the user.