Video Event Identification for Audio Alignment

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Solution Overview

Problem

The process of adding sound effects to video content is tedious and time-consuming, requiring manual documentation of events, recording of audio content, and trial-and-error adjustments to align audio with video.

Innovation Solution

A computing system analyzes video data to identify events, uses this information to select appropriate audio content, and facilitates editing to align the audio with the video content, leveraging machine learning and mapping data for efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual documentation of events and trial-and-error alignment is used, then audio content can be added to video content, but the process becomes tedious and time-consuming

Engineering Contradiction:

Improvespeed of adding sound effectsVSAvoidtime required for post-production

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system automatically identifies events in video content and selects appropriate audio content without requiring manual documentation or trial-and-error adjustments. The computing system performs self-service by analyzing video data, identifying events, and autonomously aligning audio content, thereby eliminating the tedious manual process and significantly reducing post-production time.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of event documentation and audio alignment with an automated computing system that uses machine learning and audio analysis. This substitution eliminates the need for manual intervention in documenting events and adjusting audio timing, directly addressing the contradiction between productivity and time loss.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If manual event documentation is required, then audio content can be precisely aligned with video content, but the complexity and effort of the process increases

Engineering Contradiction:

Improvealignment accuracy of audio with videoVSAvoidcomplexity of post-production process

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The computing system performs self-service by automatically analyzing video data to identify events and selecting appropriate audio content. This eliminates the need for manual event documentation while maintaining precise alignment through automated analysis and selection processes, thereby reducing complexity while preserving accuracy.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback mechanisms where the computing system analyzes the relationship between identified video events and selected audio content, making iterative adjustments to ensure precise alignment. This feedback loop maintains manufacturing precision while reducing the complexity of manual intervention required in the post-production process.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250037742A1Content System with Event Identification and Audio-Based Editing Feature

Publication Date: 2025.01.30 ROKU INC

AI summary

In one aspect, an example method includes (i) obtaining, by a computing system, video data representing video content; (ii) analyzing, by the computing system, the video data to identify an event that is a subject of the video content; (iii) using, by the computing system, the identified event as a basis to select audio content; and (iv) performing, by the computing system, an operation that facilitates editing the video content to include the selected audio content.