Video Document Generation via Transcript-Based Keyframe Segmentation
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Solution Overview
Problem
Existing solutions for converting video content into electronic documents are inefficient due to poorly organized screenshots and time-consuming transcripts, which do not effectively address the challenge of consuming large amounts of video content, especially for users with disabilities.
Innovation Solution
A software application on a computing device generates a transcript for a video, identifies keyframes, segments them into presentation and regular frames, and organizes them into topic groups based on identified topics, creating an electronic document that improves access to video content while reducing computational overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a full transcript is generated from video content, then complete information is captured, but navigation time and consumption time increase significantly
Solution Approach 1:
The patent extracts only the most relevant portions of the transcript (key sentences or phrases) rather than including the full transcript. This extraction process creates a condensed summary that retains essential information while dramatically reducing navigation time, directly resolving the contradiction between information completeness and time efficiency
Solution Approach 2:
The patent segments the video content into discrete frames and associates each frame with relevant transcript portions. This segmentation allows users to access specific information segments quickly without navigating through the entire transcript, thereby reducing navigation time while preserving access to complete information when needed
2Loss of information
If screenshots are taken from video presentations, then visual content is captured, but organization quality deteriorates when split at ineffective points
Solution Approach 1:
The system uses feedback from transcript analysis to determine optimal frame selection and organization. By analyzing the transcript content and timing, the system identifies which frames correspond to meaningful content boundaries, ensuring screenshots are captured at effective points rather than arbitrary positions, thus improving organization quality
Solution Approach 2:
The patent performs preliminary analysis of the transcript and video content before generating the final document. This preliminary action includes identifying key frames and organizing them according to content structure, ensuring that screenshots are properly positioned and organized before the document is assembled, thereby preventing poor organization
3Loss of information
If all keyframes are included in the electronic document, then comprehensive coverage is achieved, but computational overhead increases
Solution Approach 1:
The patent applies partial action by selecting only the most relevant keyframes for inclusion in the electronic document rather than processing all available frames. This selective approach maintains comprehensive coverage of essential content while significantly reducing the computational overhead associated with processing and organizing every frame
Solution Approach 2:
The system applies different processing quality levels to different portions of the video content based on their importance. High-importance segments receive full keyframe analysis and inclusion, while less critical segments receive reduced processing. This local quality approach ensures comprehensive coverage of important content while minimizing computational overhead for less important portions
Data Source
AI summary
A computing apparatus comprising one or more computer readable storage media, one or more processors operatively coupled with the one or more computer readable storage media, and an application comprising program instructions stored on the one or more computer readable storage media that direct the computing apparatus to at least generate a transcript for a video and identify keyframes in the video based on the transcript. The keyframes are segmented into presentation frames and regular frames. For at least a presentation frame of the presentation frames, a topic represented in the presentation frame is identified, and for at least a regular frame of the regular frames, a topic represented in a portion of the transcript corresponding in time to the regular frame is identified. The keyframes are organized into topic groups based on the topic identified for each of the keyframes, and an electronic document is generated based on the topic groups.