Video Processing

We present a simple and effective method for removing noise and outliers from such point sets.

In this paper, we present an efficient algorithm to reconstruct intricate objects using densely sampled light fields.

In this paper, we aim to retrieve sounds corresponding to a query image.

We present comprehensive comparisons with commercial software packages and relevant methods in literature, which show that the quality of our results is superior to any other currently available green-screen keying solution.

In this paper, we present a modified algorithm which builds upon the previous work by redesigning key components to achieve real-time performance.

We present a novel phase-based method for propagating modifications of one video frame to an entire sequence.

We present a new benchmark dataset and evaluation methodology for the area of video object segmentation

We propose a novel approach to video segmentation that operates in bilateral space.

We present a novel approach to video segmentation using multiple object proposals.

We present an efficient algorithm to automatically segment a static foreground object from highly cluttered background in light fields.