Video Processing

This paper addresses stereoscopic view generation from a light field. We present a framework that allows for the generation of stereoscopic image pairs with per-pixel control over disparity, based on multi-perspective imaging from light fields. The proposed framework is novel and useful for stereoscopic image processing and post-production.

In this paper we propose a method for dynamic rescaling of music, inspired by recent works on image retargeting, video reshuffling and character animation in the computer graphics community. Given the desired target length of a piece of music and optional additional constraints such as position and importance of certain parts, we build on concepts from seam carving, video textures and motion graphs and extend them to allow for a global optimization of jumps in an audio signal.

We describe in detail the required components, decisions, and new techniques that together make a usable, interactive tool for compositing HD video, paying special attention to running time and performance of each section.

We present a solution for generating high-quality stereo panoramas at megapixel resolutions.

We present a method for consistent automatic transfer of edits applied to one image to many other images of the same object or scene.

We present a novel stereo-to-multiview video conversion method for glasses-free multiview displays.

In this paper, a view synthesis method based on Image-domain-Warping (IDW) is presented which synthesizes new views directly from S3D video and functions completely automatically.

Recent subjective studies showed that current tone mapping operators either produce disturbing temporal artifacts, or are limited in their local contrast reproduction capability. We address both of these issues and present an HDR video tone mapping operator that can greatly reduce the input dynamic range, while at the same time preserving scene details without causing significant visual artifacts.

We present an interactive method for computing optimal nonlinear temporal video alignments of an arbitrary number of videos.

We present an approach that takes multiple videos captured by social cameras that are carried or worn by members of the group involved in an activity and produces a coherent “cut” video of the activity.