Transcript-Based Video Editing Interface
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Solution Overview
Problem
Conventional video editing tools are complex, expensive, and require extensive training, making them intimidating for general users. Additionally, timeline-based editing is slow and fine-grained, leading to tedious and inefficient editing workflows.
Innovation Solution
The solution involves providing visualizations and mechanisms for performing video edits using transcript interactions, where text stylizations or layouts are mapped to video effects. This allows users to select text segments in a transcript, apply corresponding video effects, and visualize these effects within the transcript interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional video editing tools are used, then video editing functionality is provided, but the interface complexity and difficulty of use increase significantly
Solution Approach 1:
The patent introduces a transcript as an intermediary layer between the user and the video editing system. Users interact with text-based transcripts instead of directly manipulating complex video timelines, simplifying the interface while maintaining full video editing functionality. The transcript serves as a mediator that translates user intentions into video editing operations.
Solution Approach 2:
The patent creates a textual copy (transcript) of the video content that users can interact with. Instead of editing the actual video directly, users work with a text-based representation, selecting and styling transcript segments to apply effects to corresponding video portions. This copying approach reduces interface complexity while preserving editing capabilities.
2Measurement precision
If timeline-based editing is used, then precise video frame selection is achieved, but the editing workflow becomes slow and tedious
Solution Approach 1:
The patent segments the video editing task into two independent parts: transcript segmentation (text-based) and video segmentation (frame-based). Users work with segmented transcript portions using simple text selection, while the system automatically handles the corresponding video frame segmentation. This separation allows precise frame selection without the tedium of manual timeline manipulation.
Solution Approach 2:
The patent performs preliminary action by pre-synchronizing the transcript with the video timeline before editing begins. Timecodes are pre-associated with transcript segments, and the system pre-establishes the mapping between text portions and video frames. This preliminary synchronization eliminates the need for users to manually align text with video during editing, significantly improving workflow speed while maintaining precision.
3Adaptability or versatility
If traditional video editing interfaces are used, then comprehensive video editing capabilities are provided, but the learning curve and training requirements increase
Solution Approach 1:
The patent makes the transcript interface universal by enabling multiple video editing operations through a single text-based interaction paradigm. The same transcript selection and styling mechanisms work for various editing tasks (applying effects, trimming, synchronizing), eliminating the need to learn different interfaces for different functions. This multi-functionality through a unified interface reduces training requirements while maintaining comprehensive editing capabilities.
Data Source
AI summary
Embodiments of the present disclosure provide, a method, a system, and a computer storage media that provide mechanisms for multimedia effect addition and editing support for text-based video editing tools. The method includes generating a user interface (UI) displaying a transcript of an audio track of a video and receiving, via the UI, input identifying selection of a text segment from the transcript. The method also includes in response to receiving, via the UI, input identifying selection of a particular type of text stylization or layout for application to the text segment. The method further includes identifying a video effect corresponding to the particular type of text stylization or layout, applying the video effect to a video segment corresponding to the text segment, and applying the particular type of text stylization or layout to the text segment to visually represent the video effect in the transcript.


