Slide Image Classification via Video Stream Analysis
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Solution Overview
Problem
Existing solutions for archiving slide presentations often require specific software and operating systems, which can be burdensome for presenters and limit compatibility, and fail to efficiently distinguish between slide and non-slide images.
Innovation Solution
A method and system that classify images as slide or non-slide images by analyzing video streams, using a slide analyzer device with a processor and memory, independent of presentation software and operating systems, employing techniques like optical character recognition, text height analysis, and edge region histograms to capture, index, and manage presentation media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software that interacts with slide presentation software is used to capture and store slide images, then slide images can be obtained and stored for later use, but it restricts the type of slide presentation software and computer operating system that can be used and requires the software to be loaded onto all presenter's laptops
Solution Approach 1:
The patent introduces a video capture device as an intermediary between the presentation system and the archiving system. Instead of requiring software integration with specific presentation programs, the system captures video output from the display device, making it compatible with any presentation software that outputs to a standard video display interface.
Solution Approach 2:
The patent replaces the mechanical/software integration approach (requiring installed software on presenter laptops) with an optical/electronic capture approach using video output. This substitution eliminates the need for software installation and compatibility concerns, as any system with standard video output can be captured.
2Ease of operation
If software is preloaded onto all presenter's laptops to capture slide images, then slide images can be captured, but it creates a burden for presenters and increases device complexity
Solution Approach 1:
The system enables presenters to capture their own presentations without requiring special software or technical setup. The video capture device automatically records the display output, and the system self-manages the archiving process, eliminating the need for presenters to install or configure capture software.
Solution Approach 2:
The patent extracts the capture functionality from the presenter's laptop by using a separate video capture device. This separation removes the burden of software installation and management from presenters, while the capture function itself remains simple - just connect the video output.
3Loss of information
If all video stream images are captured and stored, then complete presentation content is archived, but it includes non-slide images (desktop, menu screens) that reduce archiving efficiency and increase storage requirements
Solution Approach 1:
The system performs preliminary analysis of video frames to identify slide images before archiving. By detecting characteristics specific to presentation slides (such as aspect ratios, content density, or visual patterns), the system pre-filters the video stream to separate actual slide content from unrelated desktop or menu screens.
Solution Approach 2:
Instead of capturing all video frames, the system applies partial action by selectively capturing only those frames that meet slide identification criteria. This reduces the total quantity of stored images while maintaining completeness of actual presentation content.
Data Source
AI summary
A method of classifying images as slide images or non-slide images can be done by capturing a video stream, analyzing an image of the video stream and determining whether the image is a slide image. The analyzing can be based on text height and/or edge region(s) of the image.