Searchable Screen Sharing via OCR and NLP Indexing
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Solution Overview
Problem
Existing systems lack the ability to efficiently record and make searchable screen sharing sessions, which are crucial for enterprise communications, hindering the retrieval of valuable information for future similar interactions.
Innovation Solution
A system that records images and audio from screen sharing sessions, extracts content using optical character recognition and natural language processing, and stores it as searchable content, allowing for semantic information generation and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If screen sharing sessions are recorded and stored for future reference, then information retrieval capability is improved, but system complexity and storage requirements increase
Solution Approach 1:
The patent extracts and indexes only the essential textual content from screen sharing sessions using optical character recognition and natural language processing, rather than storing and searching entire video files. This extraction approach enables information retrieval while reducing system complexity by working with processed text data instead of raw video.
Solution Approach 2:
The patent introduces an intermediary processing layer that converts visual screen content into searchable text through OCR and NLP techniques. This intermediary step creates an indexed representation of screen sharing sessions that can be efficiently queried without requiring direct analysis of video files, thus improving retrieval capability while managing system complexity.
2Measurement precision
If complete screen sharing sessions are stored for searchability, then search accuracy is improved, but storage space and processing time increase
Solution Approach 1:
The patent extracts only the relevant textual information from screen sharing sessions and stores this extracted content in an indexed format. This approach maintains search accuracy by preserving the semantic content while dramatically reducing storage requirements compared to storing complete video recordings.
Solution Approach 2:
Instead of storing complete video files and attempting to search within them, the patent inverts the approach by first converting screen content to text and storing only the textual representation. This inversion enables efficient searching with minimal storage requirements while maintaining search accuracy through proper indexing of extracted content.
Data Source
AI summary
Systems and methods are provided for searchable screen sharing sessions. A system records at least one image associated with a screen sharing session. The system extracts content from the at least one image. The system stores the content as searchable content associated with the screen sharing session.