Listener Interaction-Based Media Highlight Extraction
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Solution Overview
Problem
Existing media evaluation techniques are biased and inefficient, relying on human reviewers who must watch entire programs to provide summaries, which do not highlight specific good or bad portions and require viewers to watch the entire program to experience relevant content.
Innovation Solution
A system that collects interactions from listeners during media programs to identify and consolidate 'highlights' based on interaction rates and types, allowing for condensed media streams to be created and accessed independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a designated evaluator views a media program in its entirety to generate a written record or summary, then the evaluation is comprehensive and covers the entire program, but the process is arduous and inefficient, requiring significant time and effort
Solution Approach 1:
The patent extracts only the most relevant and engaging portions of media programs based on listener interactions, rather than requiring evaluators to review the entire program. This extraction approach maintains evaluation quality by focusing on significant segments while dramatically reducing the time and effort required.
Solution Approach 2:
The system creates condensed copies of media programs that capture the essential content and viewer engagement points. These condensed versions serve as efficient evaluation targets that preserve the most important aspects of the original program without requiring full-program review.
2Loss of information
If an evaluator prepares a written record or summary of a media program, then the evaluation document is created, but the written record characterizes the media program in a single manner for the entire program and does not highlight specific portions that are particularly good or bad
Solution Approach 1:
The patent segments the media program into distinct portions based on listener interactions and engagement metrics. Each segment is independently evaluated and characterized, allowing the system to highlight specific good or bad portions rather than providing a single overall characterization of the entire program.
Solution Approach 2:
The system applies different characterization qualities to different portions of the media program based on local listener interactions. High-engagement segments receive detailed analysis and highlighting, while lower-engagement portions are treated differently, creating a nuanced evaluation that reflects the actual viewer experience.
3Ease of operation
If a written review or summary of a media program successfully convinces a viewer or listener to try the media program, then the viewer or listener is motivated to watch, but they must typically sit through the media program in its entirety even where the most relevant or most desirable portions are distributed throughout
Solution Approach 1:
The system performs preliminary analysis of the media program by monitoring listener interactions in real-time to identify engaging portions before the viewer commits to watching. This preliminary identification allows the system to prepare condensed versions or highlight reels that promise relevant content, motivating viewers to watch while saving them time by focusing on the most desirable portions.
Data Source
AI summary
When a media program hosted by a creator is played by devices of listeners, the listeners execute gestures or other interactions with user interfaces displayed on the devices. Times at which the interactions are received are tracked, and the interactions are interpreted to characterize feedback regarding media content being played at the times at which the interactions are received. Portions of the media program that are of high interest to listeners, as determined by such interactions, are identified and combined into consolidated media programs and stored. The consolidated media programs formed from such portions are available to listeners, in a prerecorded format, as condensed alternatives to the media programs.