Frames Preprocessing Methods for Chromakey Classification in Video

Evgeny Bessonnitsyn, Artyom Chebykin, Grigorii Stafeev, Valeria Efimova

2024

Abstract

Currently, video games, movies, commercials, and television shows are ubiquitous in modern society. However, beneath the surface of their visual variety lies sophisticated technology, which can produce impressive effects. One such technology is chromakey — a method that allows to change the background to any other image or video. Recognizing chromakey technology in video plays a key role in finding fake materials. In this paper, we consider approaches based on deep learning models that allows to recognize chromakey in video based on unnatural artifacts that arise during the transition between frames. The video consists of a sequence of frames, and the the video accuracy can be determined in different ways. If we consider the accuracy frame by frame, our method reaches an F1 score equal to 0:67. If we consider the entire video to be fake in case there is one or more fake segments, then the F1 score equal to 0:76. The proposed methods showed better results on the dataset we collected in comparison with existing methods for chromakey detection.

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Paper Citation


in Harvard Style

Bessonnitsyn E., Chebykin A., Stafeev G. and Efimova V. (2024). Frames Preprocessing Methods for Chromakey Classification in Video. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 227-232. DOI: 10.5220/0012467900003660


in Bibtex Style

@conference{visapp24,
author={Evgeny Bessonnitsyn and Artyom Chebykin and Grigorii Stafeev and Valeria Efimova},
title={Frames Preprocessing Methods for Chromakey Classification in Video},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={227-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012467900003660},
isbn={978-989-758-679-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Frames Preprocessing Methods for Chromakey Classification in Video
SN - 978-989-758-679-8
AU - Bessonnitsyn E.
AU - Chebykin A.
AU - Stafeev G.
AU - Efimova V.
PY - 2024
SP - 227
EP - 232
DO - 10.5220/0012467900003660
PB - SciTePress