Slide Show Context Extraction for Non-Presentation Apps
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Solution Overview
Problem
Conventional presentation software applications require access to the presentation application to convert presentations to markup language, making it impossible to extract text from slide shows converted to raster imagery, which is essential for integration with non-presentation applications like Web conferencing and virtual classrooms, particularly for accessibility purposes.
Innovation Solution
A method and system that extracts contextual data, including slide titles and important text, from slide shows in their native format, converts them to raster imagery, and generates a markup language document for use in non-presentation applications, allowing for the preservation of context and text accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If slide shows are converted to raster imagery for use in non-presentation applications, then compatibility with diverse devices and applications is improved, but text extraction capability is lost
Solution Approach 1:
The system performs preliminary extraction of contextual data (text content, slide titles, navigation information) from the presentation document before converting slides to raster imagery. This extracted data is stored separately in a data store, preserving text accessibility while allowing the slides to be rendered as raster images for compatibility with non-presentation applications.
Solution Approach 2:
The system separates the presentation into two distinct components: raster imagery for visual display and extracted contextual data for text processing. This segmentation allows each component to serve its specific function independently - raster images provide device compatibility while extracted text maintains accessibility and searchability for non-presentation applications.
2Loss of information
If presentation applications are required to convert presentations to markup language, then text accessibility is improved, but device compatibility and independence from presentation software is reduced
Solution Approach 1:
The system introduces an intermediary conversion process that extracts contextual data from the presentation document and transforms it into application-independent markup language formats (such as HTML). This intermediary layer enables text accessibility and application integration without requiring the original presentation software, as the extracted data can be processed by any standard web browser or text-processing application.
Solution Approach 2:
The system creates a copy of the presentation content in an alternative format by extracting textual and contextual elements from the native presentation document and representing them in markup language. This copy preserves the essential information and accessibility features while being independent of the original presentation application, allowing the content to be used in diverse non-presentation environments.
3Adaptability or versatility
If slides are converted to raster representations for web conferencing, then integration with conferencing applications is improved, but contextual understanding and agenda generation capability are lost
Solution Approach 1:
The system performs preliminary extraction of contextual elements (slide titles, text content, navigation structure) from the presentation document before converting slides to raster images for web conferencing. This extracted contextual data is stored and made available to conferencing applications, enabling agenda generation and contextual understanding while maintaining integration capability through raster image display.
Data Source
AI summary
The present invention is a system, method and apparatus for converting a slide show presentation for use within a non-presentation application such as a Web conferencing or virtual classroom application. In accordance with the present invention, a slide show presentation in its native format can be processed to extract slide title information for each slide in the slide show presentation. Additionally, important text within slide further can be extracted. Each slide in the slide-show can be converted to a raster image and disposed within markup. The markup can be annotated with the important text and both the markup and the slide title can be provided to the non-presentation application for use in concert with the non-presentation application. In this way, the context of each slide can be preserved for use within the non-presentation application as can an image of each slide itself.


