Media Playback Replay Logic for Noise-Interrupted Dialogue
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Solution Overview
Problem
Background noise during media consumption can interfere with the user's ability to understand important segments of media content, leading to a negative viewing experience, especially when the interrupted segments include crucial dialogue or events.
Innovation Solution
A media player application monitors the media presentation environment for background noise and determines the importance of the current media segment based on metadata and dialogue complexity, adjusting playback parameters such as volume, subtitles, or replaying the segment if the noise exceeds predefined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user rewinds the media content every time background noise interrupts the media content, then the user can hear the audio content of the interrupted segment, but a significant amount of time and processing resources may be wasted
Solution Approach 1:
The patent applies local quality by differentiating between important and non-important media segments. The system analyzes audio characteristics (dialogue presence, volume levels) and metadata to identify which segments contain critical information. Only important segments are replayed when interrupted by noise, while non-important segments are skipped, thereby optimizing both understanding completeness and time efficiency.
Solution Approach 2:
The patent segments the media content into distinct important and non-important portions based on audio analysis. By dividing the media stream into segments with different importance levels, the system can selectively apply replay logic only to critical segments, avoiding unnecessary replay of entire media content and reducing wasted time and resources.
2Loss of time
If the user continues watching the media content without rewinding after an interruption, then time and processing resources are saved, but the user's viewing experience may be negatively affected if the interrupted segment is important
Solution Approach 1:
The patent implements feedback by continuously monitoring audio characteristics during media playback. The system analyzes dialogue presence, volume levels, and other audio features in real-time to determine segment importance. This feedback loop enables the system to make informed decisions about whether to replay interrupted segments, ensuring that critical information is not lost while minimizing unnecessary replay actions.
Solution Approach 2:
The patent applies self-service by enabling the media player to automatically detect noise interruptions and determine segment importance without user intervention. The system autonomously analyzes audio characteristics, compares them against thresholds, and decides whether to replay segments, thereby saving user time and effort while maintaining understanding completeness.
3Reliability
If the media player replays all interrupted segments, then the user can ensure understanding of all content, but processing resources and time are wasted on non-important segments
Solution Approach 1:
The patent applies local quality by differentiating between important and non-important media segments. The system analyzes audio characteristics (dialogue presence, volume levels) and metadata to identify which segments contain critical information. Only important segments are replayed when interrupted by noise, while non-important segments are skipped, thereby optimizing both understanding completeness and time efficiency.
Solution Approach 2:
The patent applies partial action by replaying only the necessary portion of interrupted segments rather than all segments. The system determines the start and end points of important content within interrupted segments and replays only those portions, avoiding excessive replay of non-critical content and improving processing efficiency.
4Productivity
If the media player analyzes audio complexity to determine replay necessity, then replay decisions are optimized, but the device complexity increases
Solution Approach 1:
The patent applies partial action by implementing a tiered analysis approach. The system first performs basic audio analysis (dialogue detection, volume threshold comparison) to identify potentially important segments. Only segments that pass this initial filter undergo more complex analysis, reducing the overall computational burden while maintaining decision optimality for critical segments.
Solution Approach 2:
The patent applies preliminary action by pre-processing and caching audio characteristics (dialogue presence, volume levels) during the initial playback. This preliminary analysis results are stored and reused when noise interruption occurs, avoiding the need to perform complete audio complexity analysis from scratch and reducing real-time processing requirements.
Data Source
AI summary
Systems and methods are provided herein for selectively replaying interrupted segments of media content that are important for understanding a storyline of the media content. In response to detecting noise in a media presentation environment where a current segment is being played, it is determined whether the current segment is important. Responsive to the determination that the current segment is important, a complexity score of the audio component of the current segment is determined and a replay threshold is determined based on the complexity score. Responsive to the determination that the detected noise level is greater than the replay threshold, the current segment is replayed from the beginning instead of continuing to play the media content.