Document Portion Identification in Recorded Video
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Solution Overview
Problem
It is challenging to accurately identify and track document portions presented or shared during web-based meetings from recorded videos, especially when documents are lightly edited and shared across different meetings.
Innovation Solution
A system is implemented that generates unique identifiers for document portions, which are then embedded in the documents. These identifiers can be recognized in video frames, allowing for the identification of specific document portions within recorded videos and the determination of video segments where they appear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If documents are lightly edited and shared during different meetings, then document versatility and reusability are improved, but document identification accuracy and tracking reliability deteriorate
Solution Approach 1:
The patent segments documents into unique document portions with individual identifiers. Each portion (slide, page, section) receives a distinct ID that tracks it independently through multiple meetings, allowing the same document to be identified accurately even when lightly edited and shared across different contexts
Solution Approach 2:
The system changes the identification parameter from document-level to document-portion-level. By assigning unique identifiers to specific portions rather than entire documents, the system maintains identification accuracy despite document modifications, edits, or resharing across different meetings
2Measurement precision
If manual review of recorded videos is performed to identify document portions, then identification accuracy is improved, but time consumption and labor requirements increase
Solution Approach 1:
The system enables self-service identification where the video recording itself contains embedded document portion identifiers. The identification process is automated through computer vision techniques that automatically detect and recognize these identifiers in video frames, eliminating the need for manual review while maintaining high accuracy
Solution Approach 2:
The patent replaces manual mechanical review with automated computer vision systems. Image processing algorithms automatically detect document portions and their identifiers in video frames, substituting human manual analysis with automated technological processes that are both accurate and time-efficient
Data Source
AI summary
Document portion identification in a recorded video is disclosed, including: obtaining a recorded video; identifying a document portion that appears during the recorded video, wherein the document portion belongs to a document; and determining a video segment during which the document portion appears in the recorded video.