Video Processing

In this paper we present a novel system to extract keyframes, shot clusters and structural storyboards for video content description, which can be used for a variety of summarization, visualization, classification, indexing and retrieval applications.

In this paper, we present a complete hardware system for fully automatic MVS.

We present a method to continuously blend between multiple facial performances of an actor, which can contain different facial expressions or emotional states.

We propose a simple analysis model for view sampling and an adaptive, online sampling algorithm tailored to light field depth reconstruction.

We present a novel, sampling-based framework for processing video that enables high-quality scene-space video effects in the presence of inevitable errors in depth and camera pose estimation.

We present a practical, key-frame based scribble propagation framework.

The key insight behind this paper is to effectively exploit coherence in densely sampled video input.

This paper describes the design challenges faced during the development process of user interfaces and the adopted methodological approach to user evaluation and assessment.

We present an efficient alternative by leveraging recent developments in phase-based methods that represent motion in the phase shift of individual pixels.

This paper presents a novel interface based on a click-and-drag interaction that allows to rapidly select regions from state-of-the-art segmentation hierarchies.