LightPainter: Creating Long-Exposure Imagery from Videos

Yi Ling Chen; Zhenyu Tang; Kwan-Liu Ma

doi:10.1109/MCG.2018.042731656

LightPainter: Creating Long-Exposure Imagery from Videos

Yi Ling Chen, Zhenyu Tang, Kwan-Liu Ma

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

This article presents LightPainter, an interactive tool that promotes creative long-exposure photography through an intuitive drawing metaphor and flexible spatiotemporal mapping from videos to composite images. We discuss the power of software-defined exposure and the tools capability to facilitate creating sophisticated long-exposure effects in challenging scenarios.

Original language	English (US)
Pages (from-to)	27-36
Number of pages	10
Journal	IEEE Computer Graphics and Applications
Volume	38
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2018.042731656
State	Published - Jul 1 2018

Keywords

computational photography
image compositing
long-exposure imagery
video editing

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/MCG.2018.042731656

Cite this

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title = "LightPainter: Creating Long-Exposure Imagery from Videos",

abstract = "This article presents LightPainter, an interactive tool that promotes creative long-exposure photography through an intuitive drawing metaphor and flexible spatiotemporal mapping from videos to composite images. We discuss the power of software-defined exposure and the tools capability to facilitate creating sophisticated long-exposure effects in challenging scenarios.",

keywords = "computational photography, image compositing, long-exposure imagery, video editing",

author = "Chen, {Yi Ling} and Zhenyu Tang and Kwan-Liu Ma",

year = "2018",

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LightPainter: Creating Long-Exposure Imagery from Videos

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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