Digital Video Transcript Chapterization With Visual Break Detection
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Solution Overview
Problem
Conventional digital video transcription systems produce inaccurate and illegible transcripts due to reliance on rudimentary audio-based algorithms, failing to provide context and proper break points in video content.
Innovation Solution
A video transcript segmentation system that utilizes both audio and video signals to determine break points, employing a break point prediction model to generate a segmented transcript and suggest or insert breaks based on combined audio and video features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems rely solely on audio data for transcription, then the transcription process is simple, but the transcript accuracy and contextual understanding deteriorate
Solution Approach 1:
The patent combines audio data and video data into a unified transcription system. The system processes both audio signals and video frames simultaneously, merging their respective features (audio features like speech content, and video features like visual context) to generate transcripts with improved accuracy and contextual understanding.
Solution Approach 2:
The transcription system uses composite data structures that integrate multiple data types (audio features, video features, timestamps) into a unified framework. This composite approach allows the system to leverage strengths from both audio and video modalities while maintaining manageable complexity through structured integration.
2Reliability
If conventional systems use rudimentary transcription algorithms, then the processing speed is fast, but the ability to identify proper break points and provide context deteriorates
Solution Approach 1:
The system segments the transcription process into distinct stages: audio feature extraction, video feature extraction, break point detection, and transcript generation. This segmentation allows each component to be optimized independently, with break point identification handled by specialized algorithms that analyze both audio and video features to accurately detect scene transitions and speech boundaries.
3Ease of operation
If conventional systems produce continuous streams of text, then the transcript coverage is complete, but the readability and logical structure deteriorate
Solution Approach 1:
The system performs preliminary break point detection and chapterization before final transcript generation. By identifying potential break points and structural divisions in advance based on both audio and video features, the system can organize the continuous transcript into logically structured sections with appropriate headings and formatting, improving readability while preserving contextual information.
Data Source
AI summary
The present disclosure relates to systems, methods, and non-transitory computer-readable media for segmenting a digital video to segment a digital video by employing a chapterization approach to video transcripts based on contextual data from audio signals and video signals together. In some embodiments, the disclosed systems can extract various types of audio signals and various types of video signals from a digital video. From the extracted signals, the disclosed systems can determine a set of break points to segment a video transcript. In some embodiments, the disclosed systems can further recommend, via a notification on a client device, inserting corresponding breaks from the segmented transcript into the digital video.