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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46976
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Visual Code Segmentation and Storage System is an advanced framework designed to extract, segment, and systematically store code snippets from video content. Leveraging cutting edge techniques in computer vision and natural language processing, the system processes video frames to identify code blocks accurately. These code snippets are segmented based on context and content and are then saved into structured files for further use. The system is optimized to handle diverse programming languages and file structures, ensuring seamless integration into development workflows. This tool is tailored for developers, educators, and researchers who work with video-based code tutorials, conference recordings, or online programming resources. By automating the extraction and organization process, it significantly reduces manual effort, enhances accessibility, and ensures that extracted code is readily usable.
KEYWORDS
Publication Date
5/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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