Subtitle Rendering Based on Reading Pace
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Solution Overview
Problem
Current closed captioning and subtitling methods fail to provide captions that can be read within the time frame of a scene, often requiring users to rewind and replay content multiple times, and do not adequately account for user language proficiency or available playback speed adjustments.
Innovation Solution
A system that summarizes captioned text based on user language proficiency and reading pace, automatically adjusting playback speed and rewriting captions to ensure they can be read within the scene's timeframe, using machine learning and AI to personalize the content based on user preferences and consumption history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If captions are provided as complete word-for-word transcripts synchronized to the media asset, then the captions provide full context and information, but the user cannot read the full captions within the scene timeframe and must rewind and replay multiple times
Solution Approach 1:
The patent segments the complete caption text into multiple portions that are displayed sequentially over time. Instead of showing all captions at once, the system divides them into segments that can be read within the scene duration, allowing users to read complete information without rewinding while matching the scene timeframe.
Solution Approach 2:
The patent dynamically adjusts caption display parameters including reading pace, text size, and display duration based on scene characteristics and user preferences. The system modifies caption presentation in real-time to optimize readability within each scene's time constraints while maintaining complete information delivery.
2Adaptability or versatility
If captions are displayed at standard speed for all users, then the system maintains simplicity and consistency, but it does not account for individual user language proficiency and reading pace variations
Solution Approach 1:
The patent changes multiple caption parameters including text size, display duration, reading pace, and font style to adapt to individual user needs. By adjusting these parameters based on user profile data and scene characteristics, the system provides personalized captioning without requiring complex hardware modifications.
Solution Approach 2:
The system automatically selects and applies appropriate caption parameters based on user profiles and scene analysis without requiring manual user intervention. The automated adjustment of reading pace, text size, and display timing allows the system to serve individual user needs while maintaining operational simplicity.
3Loss of time
If the caption text is reduced or summarized to fit within scene timeframes, then users can read captions without rewinding, but the complete context and information may be lost
Solution Approach 1:
The patent segments complete caption text into multiple sequential portions displayed over the scene duration. This segmentation allows all original information to be presented without compression or summarization, enabling users to read complete captions within the scene timeframe by displaying different segments at appropriate moments.
Solution Approach 2:
The system performs preliminary analysis of the scene and caption content to determine optimal segmentation points and display timing. By pre-processing the caption text and scene data, the system prepares a segmented display plan that ensures complete information delivery within the scene timeframe without requiring summarization.
Data Source
AI summary
Systems and methods for summarizing captions, configuring playback speed, and rewriting the caption file for a media asset are disclosed. The system determines whether to display the original captions or a summarized version of the captions, which are based on user's language proficiency level, reading pace, and historical data, and can be generated either on-demand or automatically when rewinds and pauses are detected. The caption file which includes the original captions can be rewritten. The system determines whether to stream a caption or a rewritten file to a media device based on user or system selections. In the absence of a caption file, or when the caption file cannot be summarized, the playback speed of the media asset is slowed down to provide additional reading time to the user.