Aggregated Transcript Tracking for Multi-Track Video Editing
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Solution Overview
Problem
Existing video editing systems struggle to generate accurate transcripts for multi-track sequences in non-linear editors, as they either require re-transcribing entire sequences upon edits, leading to inefficiency and resource wastage, or fail to handle overlapping audio segments effectively.
Innovation Solution
A transcript aggregator reconciles individual audio source transcripts using metadata side channels and contribution tracking rules to generate an aggregated transcript in real-time, accounting for audio signal flow and edits in multi-track sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing solutions re-transcribe entire sequences upon edits, then transcript accuracy is maintained, but computational cost and time consumption increase significantly
Solution Approach 1:
The patent divides the multi-track sequence into individual audio source segments, each with its own transcript. Instead of re-transcribing the entire sequence, the system segments the work into manageable parts (individual audio sources) and processes only the necessary segments when edits occur, significantly reducing computational overhead while maintaining accuracy.
Solution Approach 2:
The system performs preliminary transcription of individual audio sources when they are imported into the NLE, before any editing occurs. These pre-generated transcripts are stored and reused during editing operations, eliminating the need to re-transcribe unchanged portions and reducing overall time consumption.
2Productivity
If existing solutions use simple transcript concatenation, then processing speed is fast, but handling of overlapping audio segments and conflicts is inadequate
Solution Approach 1:
The patent introduces a metadata side channel as an intermediary between audio sources and transcripts. This metadata layer stores time-dependent representations of audio signal flow and contribution information, enabling the system to accurately resolve overlapping segments and conflicts without sacrificing processing speed. The metadata acts as a mediator that provides the necessary information to reconcile multiple audio sources.
Solution Approach 2:
The system changes the parameter representation by storing time-dependent metadata about audio contribution and signal flow rather than simply concatenating transcripts. This parameter transformation enables accurate handling of overlapping segments while maintaining efficient processing through rule-based resolution.
3Ease of manufacture
If existing solutions support only single-track sequences, then implementation is simple, but adaptability to multi-track non-linear editing is limited
Solution Approach 1:
The patent creates a universal transcript aggregation system that works for both single-track and multi-track sequences. The metadata side channel and contribution tracking rules are designed to handle general multi-track scenarios, automatically simplifying to single-track behavior when applicable, thus providing multi-functionality without sacrificing implementation simplicity.
Solution Approach 2:
The system adds a new dimension (metadata side channel) to the traditional single-track transcript model. This additional dimension stores time-dependent information about audio signal flow and contributions, enabling the system to handle multi-track complexity while building upon the simple single-track foundation.
4Quantity of substance
If existing solutions generate transcripts on-demand, then storage requirements are reduced, but real-time transcript availability during editing is compromised
Solution Approach 1:
The system performs preliminary transcription of individual audio sources when they are imported, storing these transcripts in advance. This preliminary action ensures that transcripts are immediately available during editing operations without requiring on-demand generation, achieving real-time availability while managing storage efficiently through selective caching.
Solution Approach 2:
The system applies local quality by storing transcripts and metadata selectively for individual audio sources based on their usage in the sequence. Rather than storing all possible transcripts uniformly, the system optimizes storage by maintaining transcripts locally where they are needed and using contribution tracking rules to determine what to cache, balancing storage requirements with real-time availability.
Data Source
AI summary
Systems, methods, and computer storage media are disclosed for transcript aggregation. In an example implementation, an audio mix processing map is generated representing an audio signal flow defined by a multi-track sequence that mixes audio sources arranged in audio tracks into a final mix. Using the audio mix processing map, an aggregated audio track is generated that represents which of the audio sources contribute to the final mix during which ranges of time. The aggregated audio track is transformed into an aggregated transcript track by associating transcript segments from transcripts of the audio sources with corresponding ranges of the ranges of time.