Year: 2025
Type: article
Abstract: : 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: Code Extraction, OCR, Computer Vision, NLP, Video Processing, Tesseract, OpenCV, MongoDB, Streamlit, Code Segmentation.
DOI: 10.55041/ijsrem46976
Author: N. Venkateshwarlu
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410089903