Moviecuts: A new dataset and benchmark for cut type recognition

A Pardo, FC Heilbron, JL Alcázar, A Thabet… - … on Computer Vision, 2022 - Springer
Understanding movies and their structural patterns is a crucial task in decoding the craft of
video editing. While previous works have developed tools for general analysis, such as …

Collaborative noisy label cleaner: Learning scene-aware trailers for multi-modal highlight detection in movies

B Gan, X Shu, R Qiao, H Wu, K Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
Movie highlights stand out of the screenplay for efficient browsing and play a crucial role on
social media platforms. Based on existing efforts, this work has two observations:(1) For …

Learning to cut by watching movies

A Pardo, F Caba, JL Alcázar… - Proceedings of the …, 2021 - openaccess.thecvf.com
Video content creation keeps growing at an incredible pace; yet, creating engaging stories
remains challenging and requires non-trivial video editing expertise. Many video editing …

Match cutting: Finding cuts with smooth visual transitions

B Chen, A Ziai, RS Tucker… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
A match cut is a transition between a pair of shots that uses similar framing, composition, or
action to fluidly bring the viewer from one scene to the next. Match cuts are frequently used …

Multi-modal segment assemblage network for ad video editing with importance-coherence reward

Y Tang, S Xu, T Wang, Q Lin, Q Lu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Advertisement video editing aims to automatically edit advertising videos into shorter videos
while retaining coherent content and crucial information conveyed by advertisers. It mainly …