Sticky Playback Bar Scene Change Marker Generation
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Solution Overview
Problem
The over-the-top (OTT) streaming market lacks automated and programmatic generation of scene change markers, relying on manual input, which is impractical for large content catalogs and fails to capture viewer interest effectively.
Innovation Solution
A learning system that automatically generates scene change markers by analyzing user interactions, leveraging machine learning and AI to determine points of interest across millions of viewers, and integrates these markers into a sticky playback bar for enhanced navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual input is used for scene change markers, then implementation simplicity is maintained, but scalability to large content catalogs is lost
Solution Approach 1:
The system enables scene change markers to be generated automatically through machine learning algorithms that analyze video content and user interactions without requiring manual input for each marker, allowing the system to self-generate markers across the entire content catalog
Solution Approach 2:
The patent replaces the manual mechanical process of inputting scene change markers with an automated machine learning system that uses algorithms to detect and generate markers programmatically, eliminating the need for human operators to manually process each content item
2Productivity
If simple automation is used for scene change markers, then processing speed is improved, but ability to capture viewer interest is lost
Solution Approach 1:
The system incorporates feedback loops where user interactions with video content are continuously monitored and fed back into the machine learning model, allowing the algorithm to refine its understanding of what constitutes a scene change marker based on actual viewer behavior patterns
Solution Approach 2:
The machine learning model performs preliminary analysis of video content to pre-identify potential scene change markers before users interact with the content, creating a initial set of markers that are then refined based on actual user interaction data
3Stability of the object's composition
If no scene change markers are provided, then content continuity is maintained, but user navigation capability is reduced
Solution Approach 1:
The system segments the continuous video content into distinct scenes by inserting scene change markers at identified transition points, allowing the content to maintain its continuous playback while being divided into navigable segments that users can jump between
Data Source
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AI summary
Enhancements to the video playback bar, involving snapping to time markers, are described herein. The playback bar is part of a graphical user interface (GUI) for a TV or other display device, and includes a current playback time (CTI) and a plurality of scene change markers. The playback bar is sticky. The stickiness of the playback bar is based on (1) a speed of the CTI in the playback bar, while a movie or TV show (or other content) is being played in the display device, and (2) a distance of the CTI to a closest scene change marker in the playback bar, at a time a pause or stop command is received. The method operates by receiving a first command to play, fast forward, rewind, seek, or scrub through the content being played on the display device. The first command is executed, and then a second command to pause or stop is received. The second command is executed. A scene change marker in the playback bar closest to the CTI after execution of the second command is identified. Then, it is determined whether the distance from the CTI to the closest scene change marker is within a time threshold. If the distance is within the time threshold, then the CTI is snapped to the closest scene change marker. In some embodiments, the time thresholds associated with speeds of the CTI may be adjusted in a crowdsourced manner.