—Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that...
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
The main objective of the IBM Grand Central Station (GCS) is to gather information of virtually any type of formats (text, data, image, graphics, audio, video) from the cyberspace...
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
We present a method for browsing videos by directly dragging their content. This method brings the benefits of direct manipulation to an activity typically mediated by widgets. We...
Pierre Dragicevic, Gonzalo Ramos, Jacobo Bibliowit...