Sophoappeal image features extraction tool

Feature extraction for images considering SoA appeal features.

This repository is part of Sohpappeal. Please use the main repository as starting point.

This repository is part of the DFG project Sophoappeal (437543412), it contains images and analysis scripts.

This tool is used to generate image_features.json in sophoappeal_images.

Requirements

• python3, python3-pip, git, imagemagick, wget

• recommendation: create a virtual environment: python3 -m venv venv && source venv/bin/activate

• install pip3 requirements: pip3 install -r requirements.txt

Usage

usage: image_features.py [-h] [--cpu_count CPU_COUNT] [--report_file REPORT_FILE] image [image ...]

extract several image features

positional arguments:
  image                 image to be evaluated

optional arguments:
  -h, --help            show this help message and exit
  --cpu_count CPU_COUNT
                        thread/cpu count (default: 4)
  --report_file REPORT_FILE
                        file to store predictions (default: features.json)

stg7 2023

Hint

Parts of the features are taken from quat. And are also included in avt_ai_images.

Acknowledgments

If you use this software or data in your research, please include a link to the repository and reference the following paper.

@article{goering2023imageappeal,
  title={Image Appeal Revisited: Analysis, new Dataset and Prediction Models},
  author={Steve G\"oring and Alexander Raake},
  journal={IEEE Access},
  year={2023},
  publisher={IEEE},
  note={to appear}
}

License

GNU General Public License v3. See LICENSE.md file in this repository.