@proceedings{17490,
  author = {Faiga Alawad and P{\r a}l Halvorsen and Michael Riegler},
  title = {E2Evideo: End to End Video and Image Pre-processing and Analysis Tool},
  abstract = {In this demonstration paper, we present {\textquotedblleft}e2evideo{\textquotedblright} a versatile Python package composed of domain-independent modules. These modules can be seamlessly customised to suit specialised tasks by modifying specific attributes, allowing users to tailor functionality to meet the requirements of a targeted task. The package offers a variety of functionalities, such as interpolating missing video frames, background subtraction, image resizing, and extracting features utilising state-of-the-art machine learning techniques. With its comprehensive set of features, {\textquotedblleft}e2evideo{\textquotedblright} stands as a facilitating tool for developers in the creation of image and video processing applications, serving diverse needs across various fields of computer vision.},
  year = {2024},
  journal = {30th International Conference on Multimedia Modeling},
  month = {01/2024},
  publisher = {Springer, Cham},
  isbn = {978-3-031-53302-0},
}