Video Fragmentation for Automated HTML Page Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Converting video content into HTML pages is complex due to the large amount of content, visual components, and the need to determine page relationships, element inclusion, and styles, making it time-consuming and challenging to record and integrate effectively.
Innovation Solution
A method that involves obtaining video data, dividing it into fragments based on page detection, extracting elements, determining element types and styles, and generating page flow to create HTML pages from the video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video content is converted directly into HTML pages without fragmentation, then the complete content is preserved, but the complexity of processing and time required increase significantly
Solution Approach 1:
The patent divides video content into multiple video fragments based on page detection, where each fragment corresponds to a specific page or section. This segmentation allows the system to process smaller units independently, significantly reducing overall processing time while maintaining complete content preservation through systematic reconstruction of HTML pages from all fragments.
2Loss of information
If all video content is processed at once, then complete content is captured, but the system complexity and computational resources required increase
Solution Approach 1:
The system segments video content into discrete fragments and processes each fragment through independent analysis stages (element extraction, type determination, style generation). This modular approach reduces system complexity by breaking down the monolithic processing task into manageable, reusable components while ensuring complete content capture through comprehensive processing of all fragments.
Solution Approach 2:
The patent performs preliminary page detection to identify fragment boundaries before element extraction and analysis. This preliminary action organizes the video content structure in advance, simplifying subsequent processing steps and reducing overall system complexity by establishing a clear workflow hierarchy.
3Productivity
If video content is divided into fragments, then processing efficiency improves, but the complexity of determining page relationships and element inclusion increases
Solution Approach 1:
The system performs preliminary page detection to identify fragment boundaries and establish page relationships before element extraction. This preliminary structuring creates a reference framework that simplifies subsequent element inclusion determination, as the system already knows which fragments correspond to which pages and how they should be organized.
Solution Approach 2:
The patent introduces an intermediate page structure layer between video fragments and final HTML output. This intermediary represents the logical page organization and serves as a mediator that simplifies the mapping between fragmented video content and the target HTML page structure, making element inclusion and relationship determination more straightforward.
4Manufacturing precision
If manual methods are used to convert video to HTML, then quality control is easier, but productivity and automation level are low
Solution Approach 1:
The system performs automated element extraction, type determination, and style generation without manual intervention. The algorithm independently analyzes video fragments, identifies relevant elements, determines their types, and generates appropriate HTML code and styling, enabling high-speed automated conversion while maintaining consistent quality through standardized processing rules.
Data Source
AI summary
Methods, computer program products, and/or systems are provided that perform the following operations: obtaining video data; dividing the video data into a plurality of video fragments based, at least in part, on page detection; extracting one or more elements from each of the plurality of video fragments; determining element type data for each of the one or more extracted elements; generating element style data for the one or more extracted elements; determining page flow for the plurality of video fragments; and generating one or more pages based, at least in part, on the one or more elements extracted from the plurality of video fragments, the element type data, the element style data, and the page flow.