Mad: A scalable dataset for language grounding in videos from movie audio descriptions
The recent and increasing interest in video-language research has driven the development
of large-scale datasets that enable data-intensive machine learning techniques. In …
of large-scale datasets that enable data-intensive machine learning techniques. In …
Long-range multimodal pretraining for movie understanding
Learning computer vision models from (and for) movies has a long-standing history. While
great progress has been attained, there is still a need for a pretrained multimodal model that …
great progress has been attained, there is still a need for a pretrained multimodal model that …
The anatomy of video editing: A dataset and benchmark suite for ai-assisted video editing
Abstract Machine learning is transforming the video editing industry. Recent advances in
computer vision have leveled-up video editing tasks such as intelligent reframing …
computer vision have leveled-up video editing tasks such as intelligent reframing …
Moviecuts: A new dataset and benchmark for cut type recognition
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 …
video editing. While previous works have developed tools for general analysis, such as …
Autotransition: Learning to recommend video transition effects
Video transition effects are widely used in video editing to connect shots for creating
cohesive and visually appealing videos. However, it is challenging for non-professionals to …
cohesive and visually appealing videos. However, it is challenging for non-professionals to …
Dynamic storyboard generation in an engine-based virtual environment for video production
Born in 1930, storyboarding technique helps video creators design each shot, figure out
potential problems, and communicate ideas to save time and resources raised in practical …
potential problems, and communicate ideas to save time and resources raised in practical …
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 …
action to fluidly bring the viewer from one scene to the next. Match cuts are frequently used …
Cinematographic Camera Diffusion Model
Designing effective camera trajectories in virtual 3D environments is a challenging task even
for experienced animators. Despite an elaborate film grammar, forged through years of …
for experienced animators. Despite an elaborate film grammar, forged through years of …
Segtad: Precise temporal action detection via semantic segmentation
Temporal action detection (TAD) is an important yet challenging task in video analysis. Most
existing works draw inspiration from image object detection and tend to reformulate it as a …
existing works draw inspiration from image object detection and tend to reformulate it as a …
Temporal and contextual transformer for multi-camera editing of TV shows
The ability to choose an appropriate camera view among multiple cameras plays a vital role
in TV shows delivery. But it is hard to figure out the statistical pattern and apply intelligent …
in TV shows delivery. But it is hard to figure out the statistical pattern and apply intelligent …