MarwaShaaban20/Video-Subtitles-Detector

The Video Subtitles Detector is a program designed to detect and highlight subtitles within a video. It identifies the area containing the subtitles by drawing bounding boxes around them and further detects the location of each word within the subtitles. The program processes the video using basic filters and morphological operations, without relyi

Video-Subtitles-Detector

The Video Subtitles Detector is a powerful tool designed to automatically detect and highlight subtitles in videos. Utilizing basic image processing operations and identifies the region containing subtitles and draws bounding boxes around them for easy visibility.

Video Subtitles Detector

Overview

The Video Subtitles Detector is a program designed to detect and highlight subtitles within a video. It identifies the area containing the subtitles by drawing bounding boxes around them and further detects the location of each word within the subtitles. The program processes the video using basic filters and morphological operations, without relying on deep learning, machine learning, or OCR techniques.

Features

• Detect and highlight subtitles in a video using image processing techniques.
• Draw red bounding boxes around each line of subtitles.
• Draw green bounding boxes around each word within the subtitles.
• Process and apply bounding boxes to all subtitles in the video.

Requirements

• Python 3.x
• OpenCV
• numpy

Usage

1. Place the video file you want to process in the input directory.

2. Run the subtitles detector script:

   python detect_subtitles.py --input input/your_video.mp4 --output output/processed_video.mp4

3. The processed video with bounding boxes will be saved in the output directory.

Arguments

• --input : Path to the input video file. (https://drive.google.com/file/d/1mUOdZbcvRS_UTIoi4wGdfp9i8pNl3fYM/view video used in project)
• --output : Path to save the processed video file.

Example

To run the program on an example video:

python detect_subtitles.py --input input/example_video.mp4 --output output/processed_example_video.mp4

Expected Output

• Red Bounding Box: Represents the bounding box of the subtitles (a separate bounding box for each line if the subtitles span across multiple lines).
• Green Bounding Box: Represents the bounding box of each word within the subtitles.

Methodology

This program uses basic image processing techniques such as:

• Grayscale conversion
• Thresholding
• Morphological operations (e.g., dilation and erosion)
• Contour detection

These techniques help in identifying the regions containing subtitles and distinguishing individual words within the subtitles.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.