ShutterApp: Spatio-temporal Exposure Control for Videos

Research output: Contribution to journalArticleScientificpeer-review

Abstract

A camera's shutter controls the incoming light that is reaching the camera sensor. Different shutters lead to wildly different results, and are often used as a tool in movies for artistic purpose, e.g., they can indirectly control the effect of motion blur. However, a physical camera is limited to a single shutter setting at any given moment. ShutterApp enables users to define spatio-temporally-varying virtual shutters that go beyond the options available in real-world camera systems. A user provides a sparse set of annotations that define shutter functions at selected locations in key frames. From this input, our solution defines shutter functions for each pixel of the video sequence using a suitable interpolation technique, which are then employed to derive the output video. Our solution performs in real-time on commodity hardware. Hereby, users can explore different options interactively, leading to a new level of expressiveness without having to rely on specialized hardware or laborious editing.

Original languageEnglish
Pages (from-to)675-683
Number of pages9
JournalComputer Graphics Forum
Volume38
Issue number7
DOIs
Publication statusPublished - 2019

Keywords

  • CCS Concepts
  • Computing methodologies → Computational photography
  • Human-centered computing → Interaction techniques

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