Audio Trigger Detection for Automatic Content Highlight Extraction
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Solution Overview
Problem
Conventional techniques for generating content highlights require manual creation, limiting quantity and quality, and often fail to provide highlights for all content.
Innovation Solution
Utilizing audio data analysis to automatically generate highlights by identifying audio triggers and parameters based on content genre and subgenre, allowing real-time or near-real-time generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual creation techniques are used to generate highlights, then quality of highlights may be maintained, but quantity of highlights is limited and productivity is reduced
Solution Approach 1:
The system enables self-service by allowing the content itself to generate highlights through audio analysis. The audio data from the content is automatically processed to identify triggers and generate highlights without requiring external manual intervention, thus resolving the contradiction between maintaining quality and increasing quantity through automation
Solution Approach 2:
The patent replaces the mechanical manual creation process with an automated audio analysis system. By substituting human manual operations with automated audio processing and trigger detection algorithms, the system achieves both high quantity and maintained quality of highlights simultaneously
2Loss of time
If manual creation techniques are used to generate highlights, then quality control is possible, but time consumption increases and real-time generation is not achieved
Solution Approach 1:
The system implements continuous useful action by processing audio data in real-time as content is being watched or stored. The audio analysis and highlight generation occur continuously without interruption, eliminating the time loss associated with post-processing manual highlight creation and enabling real-time highlight availability
Solution Approach 2:
The system performs preliminary action by pre-processing audio data and identifying potential highlight triggers during content playback or storage. This advance preparation allows highlights to be generated immediately when triggers are detected, reducing the time required for later highlight creation and enabling faster response to exciting content moments
3Adaptability or versatility
If manual creation is required, then highlights can be customized, but the process becomes complex and cannot be applied to all content
Solution Approach 1:
The system achieves universality by designing an audio-based highlight generation mechanism that can be applied to all content types with audio data. The same audio analysis and trigger detection process works across different genres and content formats, eliminating the need for content-specific manual customization while maintaining adaptability through configurable trigger parameters
Solution Approach 2:
The system uses parameter changes to adapt to different content types without increasing complexity. By adjusting audio trigger thresholds, sensitivity parameters, and highlight generation settings based on content characteristics, the system maintains versatility across all content while keeping the underlying process automated and simple
Data Source
AI summary
Techniques for generating content highlights by analyzing audio of the content are disclosed. Content including audio data is obtained. Then, an audio source of the audio data is selected based on a genre of the content. Highlight generation criteria including a highlight generation trigger and a highlight generation parameter are selected based on the selected audio source and a subgenre of the content. The selected audio source in the audio data is analyzed to detect the highlight generation trigger. The highlight is then extracted from the content in response to detection of the highlight-generation trigger in the selected audio source and based on the highlight generation parameter. The highlight may include a portion of the content before the highlight generation trigger is detected, a portion of the content after the highlight generation trigger is detected, or a combination thereof.