Using Auto Regressive Model to Predict Encoding Parameters for Consistent Video Quality

Using Auto Regressive Model to Predict Encoding Parameters for Consistent Video Quality

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1. Principle Differences

2. Qualitative Results

3. Quantitative Results

Quick Start

Prerequisites

• Python 3.8+
• Required libraries listed in requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/chengzidl/QualityControlforVideo.git
   cd QualityControlforVideo

2. Install the required libraries:

   pip install -r requirements.txt

Usage

1. Prepare your dataset in the specified format.

2. Run the model training script:

   python train.py --data_path /path/to/your/data

3. Predict encoding parameters using the trained model:

   python predict.py --input /path/to/your/input

Results

The model will output the predicted encoding parameters which can be used to maintain consistent video quality.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature-branch)
5. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• Any acknowledgements or credits you want to give.