Automatic Non-Linear Video Editing Transfer

05/14/2021
by   Nathan Frey, et al.
3

We propose an automatic approach that extracts editing styles in a source video and applies the edits to matched footage for video creation. Our Computer Vision based techniques considers framing, content type, playback speed, and lighting of each input video segment. By applying a combination of these features, we demonstrate an effective method that automatically transfers the visual and temporal styles from professionally edited videos to unseen raw footage. We evaluated our approach with real-world videos that contained a total of 3872 video shots of a variety of editing styles, including different subjects, camera motions, and lighting. We reported feedback from survey participants who reviewed a set of our results.

READ FULL TEXT

page 1

page 3

page 4

research
10/22/2020

Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos

This paper proposes a vision-based method for video sky replacement and ...
research
08/09/2021

Learning to Cut by Watching Movies

Video content creation keeps growing at an incredible pace; yet, creatin...
research
05/20/2017

Responsive Action-based Video Synthesis

We propose technology to enable a new medium of expression, where video ...
research
09/02/2023

MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation

This paper addresses the issue of modifying the visual appearance of vid...
research
02/06/2022

From `Wow' to `Why': Guidelines for Creating the Opening of a Data Video with Cinematic Styles

Data videos are an increasingly popular storytelling form. The opening o...
research
09/23/2021

Layered Neural Atlases for Consistent Video Editing

We present a method that decomposes, or "unwraps", an input video into a...
research
10/30/2020

OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances

OpenKinoAI is an open source framework for post-production of ultra high...

Please sign up or login with your details

Forgot password? Click here to reset