Video-Music Synchronization Using Automated Key Frame Matching
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Solution Overview
Problem
Conventional synchronization methods for video and music require extensive manual input, are error-prone, and reduce efficiency and scalability, necessitating a more automated and precise synchronization system.
Innovation Solution
A computer system with a server and databases that automatically synchronize video and music files by aligning video and music markers, including start times, volume envelopes, and key frames, using a neural network-based key frame matching algorithm to optimize alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional manual synchronization methods are used, then synchronization can be achieved, but the process requires extensive manual input and is error-prone
Solution Approach 1:
The system enables self-service synchronization by automatically detecting and aligning key frames between video and audio tracks without requiring manual user input. The automated key frame detection algorithm analyzes the media files themselves to identify synchronization points, allowing the system to service itself rather than requiring extensive manual operation.
Solution Approach 2:
The patent replaces manual mechanical synchronization operations with an automated computational system. Instead of manual adjustment and visual alignment, the system uses computer-based key frame detection and automatic timing adjustment algorithms to achieve synchronization, substituting human mechanical operations with automated digital processing.
2Productivity
If conventional manual synchronization methods are used, then synchronization can be achieved, but the process is time-consuming and reduces efficiency
Solution Approach 1:
The system performs preliminary analysis of video and audio files to extract and pre-identify key frames before the actual synchronization process. By pre-processing the media files to detect and catalog important temporal markers, the system prepares all necessary alignment data in advance, enabling rapid synchronization without time-consuming manual analysis during the sync operation.
Solution Approach 2:
The automated key frame detection and synchronization process operates continuously without interruption, maintaining constant processing of timing data and alignment calculations. This continuous automated operation eliminates the start-stop nature of manual synchronization, maintaining productive action throughout the entire synchronization process without idle manual adjustment periods.
3Measurement precision
If conventional manual synchronization methods are used, then synchronization can be achieved, but accuracy is reduced due to human error
Solution Approach 1:
The system incorporates feedback mechanisms where the automated key frame detection continuously monitors and adjusts timing alignments based on detected temporal markers. The system analyzes the relationship between video and audio key frames in real-time, providing feedback loops that automatically correct timing discrepancies and refine synchronization accuracy without manual intervention.
Solution Approach 2:
The patent replaces human visual and manual assessment with automated computational algorithms for key frame detection and timing measurement. This substitution of mechanical human operations with digital computational processes eliminates human error in measurement and alignment, providing consistent and reliable synchronization precision through algorithmic processing.
4Adaptability or versatility
If conventional manual synchronization methods are used, then synchronization can be achieved, but scalability is limited
Solution Approach 1:
The automated key frame detection and synchronization system is designed with universal applicability across different media formats and file types. The same automated algorithm can process various video and audio formats, making the system highly scalable and adaptable to different synchronization needs without requiring format-specific manual procedures or complex custom configurations.
Solution Approach 2:
The self-service automated synchronization system handles all processing tasks internally without requiring external manual intervention or complex user-side software. This centralized automated approach simplifies the overall system architecture by consolidating complexity in the automated server-side processing rather than distributing it across multiple complex interfaces and manual operations.
Data Source
AI summary
A computer system including a server having a processor and a memory, the memory having a video database and a music database, the video database storing at least one video file having a plurality of video file markers, and the music database storing at least one music file having a plurality of music file markers, wherein the server receives and decodes encoded data from computer readable code, identifies and retrieves from the music database a music file based on the decoded data, synchronizes the retrieved music file with one of the video files by aligning the video file markers of the video file with the music file markers for the retrieved music file to produce a synchronized video-music file, and transmits the synchronized video-music file to a display, wherein the video file markers are generated for each video file and the music file markers are generated for each music file.