https://github.com/rzumer/cicav
A fast and robust animation video classification framework.
https://github.com/rzumer/cicav
Last synced: about 1 year ago
JSON representation
A fast and robust animation video classification framework.
- Host: GitHub
- URL: https://github.com/rzumer/cicav
- Owner: rzumer
- License: mit
- Created: 2018-11-29T19:35:37.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-06-03T12:20:35.000Z (about 7 years ago)
- Last Synced: 2025-03-20T16:22:35.042Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 107 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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](#fn1). 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