Collaborative Web Session Graphical Content Transcription
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current web-hosted services cannot capture and transcribe graphical content from web conferences, limiting the availability of session information and undermining the utility of conference archiving.
Innovation Solution
An improved technique that captures graphical content during collaborative web sessions using image analysis and optical character recognition (OCR) to generate text output, which is then applied to text application services for association, searching, and enhancing speech-to-text processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If transcripts include only spoken content, then speech-to-text processing is simple, but graphical content information is lost
Solution Approach 1:
The patent merges spoken content transcripts with graphical content transcripts into a unified transcript structure. The system combines text from speech-to-text processing with text extracted from graphical content (via OCR and other extraction methods), creating a single integrated transcript that contains both spoken and visual information from the collaborative web session.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the raw graphical content and the final transcript. This layer includes components that detect graphical content, extract text from images/screenshots, and integrate this extracted text with the speech-to-text output, thereby mediating the complexity while preserving information.
2Productivity
If manual video scrubbing is used to locate content, then no additional processing is needed, but time consumption increases
Solution Approach 1:
The patent performs preliminary processing of graphical content during or immediately after the collaborative web session. Text is extracted from screenshots, whiteboards, and shared content in advance, and this extracted text is indexed and made searchable before the user needs to retrieve information, eliminating the need for manual video scrubbing later.
Solution Approach 2:
The patent replaces the mechanical process of manual video scrubbing with an automated information retrieval system. Instead of manually scrolling through video content, users can search the extracted and indexed text from graphical content, allowing rapid location of specific information through text-based search rather than time-consuming visual inspection.
3Ease of operation
If graphical content is captured and converted to text, then searchability improves, but processing complexity increases
Solution Approach 1:
The patent segments the graphical content processing into distinct, manageable components: detection of graphical content regions, extraction of text from those regions using OCR and other methods, and integration of extracted text with the transcript. This segmentation allows each component to be optimized independently and simplifies the overall processing pipeline.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the inclusion of graphical content in session records, making it searchable and enhancing the effectiveness of speech-to-text processing, thereby increasing the utility of conference archiving and retrieval.
Implementation Method 1
translating a set of portions of the graphical content into text output... translating the graphical content into text
Data Source
AI summary
A technique manages collaborative web sessions (CWS). The technique receives graphical content of a CWS. The technique translates a set of portions of the graphical content into text output. The technique provides the text output to a set of text application services. The set of text application services associate the text output with the CWS.