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 language | English |
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Pages (from-to) | 675-683 |
Number of pages | 9 |
Journal | Computer Graphics Forum |
Volume | 38 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- CCS Concepts
- Computing methodologies → Computational photography
- Human-centered computing → Interaction techniques