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Media streaming has found applications in many domains such as education, entertainment, communication and video surveillance. Many of these applications require non-trivial manipulations of media streams, beyond the usual capture/playback operations suppo ...
Fixed location cameras, such as panoramic cameras or surveillance cameras, are very common. In images taken with these cameras, there will be changes in lighting and dynamic image content, but there will also be constant objects in the background. We propo ...
Distributed Video Coding (DVC) is a new paradigm for video compression based on the information theoretical results of Slepian and Wolf (SW), and Wyner and Ziv (WZ). While conventional coding has a rigid complexity allocation as most of the complex tasks a ...
In this paper, we introduce a scheme for coding video surveillance camera networks. It is based on multiview and Distributed Video Coding (DVC). DVC is known for its low complexity encoders. This makes it very interesting for a wide range of applications, ...
Visual surveillance is an important computer vision research problem. As more and more surveillance cameras appear around us, the demand for automatic methods for video analysis is increasing. Such methods have broad applications including surveillance for ...
In this paper, we address the problem of scrambling regions of interest in a video sequence for the purpose of preserving privacy in video surveillance. We propose an efficient solution based on transform-domain scrambling. More specifically, the sign of s ...
In the following study is presented two research works: the first is concerned with the elaboration of an intelligent meeting room while the second is about the development of a real time high definition video server capable of advanced accessibility optio ...
In this work we present and evaluate a novel 3D approach to track single people in surveillance scenarios, using multiple cameras. The problem is formulated in a Bayesian filtering framework, and solved through sampling approximations (i.e. using a particl ...
Visual surveillance is an important computer vision research problem. As more and more surveillance cameras appear around us, the demand for automatic methods for video analysis is increasing. Such methods have broad applications including surveillance for ...
Evaluation of the performance of video segmentation algorithms is important in both theoretical and practical considerations. This paper addresses the problem of video segmentation assessment, through both subjective and objective approaches, for the speci ...