This repository lists important papers on automated trailer generation.
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Traditional Methods
- https://github.com/yahoo/hecate (Apache 2 License)
- https://github.com/Breakthrough/PySceneDetect
- https://github.com/umutseven92/LaFontaine (MIT License)
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Deep Learning Based
- Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention
- Plots to Previews: Towards Automatic Movie Preview Retrieval Using Publicly Available Meta-Data
- Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies
- movie2trailer: Unsupervised trailer generation using Anomaly detection
- Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
- MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
- PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation