Synchronizing Visual Transitions with Musical Features via Hidden Markov Models
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Solution Overview
Problem
Conventional systems for creating multimedia presentations lack intelligent alignment and synchronization of events in visual content with musical features in audio content, failing to effectively align transitions between visual content segments with musical features such as parts, phrases, beats, or hooks.
Innovation Solution
The system employs a Hidden Markov Model to identify musical features in audio content and synchronizes visual content transitions with these features, prioritizing alignment based on a musical feature hierarchy and adjusting durations to align visual content events with specific musical elements, using physical computer processors to determine optimal display times and feature importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems are used to create multimedia presentations, then users can assemble visual content and audio content, but the system fails to provide intelligent alignment and synchronization of visual events with musical features
Solution Approach 1:
The patent introduces Hidden Markov Models as an intermediary computational layer that analyzes audio content to extract musical features (beats, phrases, parts) and generates timing information. This intermediary processing layer enables precise synchronization between visual content transitions and musical features without requiring direct manual alignment, thereby improving synchronization precision while managing system complexity through automated feature extraction and matching algorithms
Solution Approach 2:
The patent replaces manual mechanical alignment processes with automated computational systems. Instead of users manually adjusting visual content timing to match music, the system uses audio analysis algorithms, Hidden Markov Models, and automated matching mechanisms to intelligently synchronize visual events with musical features, substituting manual operation with automated intelligent processing
2Productivity
If users manually align visual content transitions with musical features, then synchronization can be achieved, but the process is time-consuming and lacks intelligence
Solution Approach 1:
The patent performs preliminary analysis of audio content to extract musical features (beats, phrases, parts) and generate timing information before visual content assembly. The system pre-processes audio files to identify musical structure and creates a timing framework in advance, enabling rapid synchronization of visual content without time-consuming manual alignment during the editing process
Solution Approach 2:
The patent enables the multimedia presentation system to automatically synchronize visual content with audio content without requiring manual user intervention. The system uses automated audio analysis, feature extraction, and intelligent matching algorithms to self-adjust timing and alignment, eliminating the need for users to manually synchronize visual events with musical features and significantly reducing alignment time
Data Source
AI summary
Systems for synchronizing events or transitions in visual content with musical features in audio content are configured to obtain audio and visual content; determine a minimum, maximum, and/or a target display duration for items of visual content; determine a first playback-time in the first audio content to associate with a start-of-display time for the first visual content; identify a first timeframe in the first audio content corresponding to a range of acceptable end-of-display times for the first visual content; identify musical features within the first timeframe; identify a candidate musical feature among the identified musical features in accordance with a hierarchy; and/or define a first candidate end-of-display time that aligns with the playback time of the candidate musical feature. A set of candidate end-of-display times are defined for multiple visual content items in a single multimedia project, the set identified by seeking a solution that increases rank among the hierarchy.