Trailers12k Dataset

Trailers12k is a movie trailer dataset comprised of 12,000 titles associated to ten genres. It distinguishes from other trailer datasets by its collection procedure aimed at providing a high-quality publicly available dataset. This dataset is an updated and refined version of Trailers15k (Zenodo). In addition to manually-curated movie trailers, Trailers12k provides Kinetics video clip-level representations, ImageNet poster representations and rich meta-data. If you find this work useful in your research, please consider citing. @article{Trailers12k-2023103343, title = {Improving Transfer Learning for Movie Trailer Genre Classification using a Dual Image and Video Transformer}, journal = {Information Processing & Management}, volume = {60}, number = {3}, pages = {103343}, year = {2023}, issn = {0306-4573}, doi = {https://doi.org/10.1016/j.ipm.2023.103343}, url = {https://www.sciencedirect.com/science/article/pii/S0306457323000808}, author = {Ricardo Montalvo-Lezama and Berenice Montalvo-Lezama and Gibran Fuentes-Pineda}, keywords = {Multi-label classification, Transfer learning, Trailers12k, Spatio-temporal analysis, Video analysis, Transformer model}, }