A dataset with classified film shots.
The dataset contains the following 10 classes that where extracted from movies
| Shot type | instances |
|---|---|
| Static | 985 |
| Ηandheld | 273 |
| Panoramic | 207 |
| Travelling_in | 55 |
| Vertical_static | 52 |
| Zoom in | 51 |
| Aerial | 51 |
| Travelling_out | 46 |
| Panoramic_lateral | 46 |
| Vertical_moving | 37 |
| Total | 1803 |
After extracting a sequence of 5 frames/sec for all shots, three kinds of pre-computed features are available in a npy format for the dataset:
- sequential_vgg_features directory contains, for each shot, a sequence of features that are extracted using the first linear layer of the VGG16 network
- sequential_features directory contains, for each shot, a sequence of features that are extracted using the visual analysis from multimodal_movie_analysis library.
- aggregated_features directory contains, for each shot, 6 statistics (mean, std, median by std ratio, top-10 percentile, mean of the delta features and std of the delta features) for the non-object features and the mean values of the object features that are calculated based on a sequence of features that are extracted using the visual analysis from multimodal_movie_analysis library.
If you are using this dataset, please use the following citation
@inproceedings{petrogianni2022film,
title={Film Shot Type Classification Based on Camera Movement Styles},
author={Petrogianni, Antonia and Koromilas, Panagiotis and Giannakopoulos, Theodoros},
booktitle={Iberian Conference on Pattern Recognition and Image Analysis},
pages={602--615},
year={2022},
organization={Springer}
}