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A fast and robust animation video classification framework.
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README.md

CICAV

Color-independent classification of animation video

This repository hosts the original implementation of the machine learning-based animation video classification approach described in the paper "Color-independent classification of animation video"1. It is a fast and accurate framework for the detection of animated video that does not rely on color information and is robust to variation in genres and techniques.

Scripts and code are provided for data pre-processing and feature extraction. Training parameters, original feature data, and a sample model are provided in the trained directory. Pre-processed training data for use with the feature extractor is also provided via URL at the same location.

External contributions for cross-platform compatibility, bug fixes, dependency reduction, etc. are welcome, as long as they do not affect the training results.

1: Zumer, R. & Ratté, S. Int J Multimed Info Retr (2018) 7: 187. https://doi.org/10.1007/s13735-018-0146-2

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