Abstract. The vast streams of data created by camera networks render unfeasible browsing all data, relying only on human resources. Automation is required for detecting and tracking multiple targets by using multiple cooperating cameras. In order to effectively track multiple targets, autonomous active camera networks require adequate scheduling and control methodologies. Scheduling algorithms ...

We examine several aspects of redshift distortions by expressing the redshiftspace density in terms of the eigenvalues and orientation of the local Lagrangian deformation tensor. We explore the importance of multiple-streaming using the Zel’dovich approximation (ZA), and compute the average number of streams in both real and redshift-space. It is found that multiple-streaming can be significant...

A queueing system with two arrival streams is considered in this paper. A number of schemes assigning different priorities to each of the two arrival streams have been modeled. One of the streams (stream 1) is considered to require a higher priority to access the server than the other (stream 2). On the other hand, stream 1 has stringent constraints with regard to the waiting time, and thus it ...

Continuous queries over data streams typically produce large volumes of result streams. To scale up the system, one should carefully study the problem of delivering the result streams to the end users, which, unfortunately, is often overlooked in existing systems. In this paper, we leverage Distributed Publish/Subscribe System (DPSS), a scalable data dissemination infrastructure, for efficient ...

Extended Abstract The extension of database systems to support multimedia applications requires new mechanisms to ensure the synchronized presentation of multiple media data streams. In order to exibly and eeciently present multimedia data streams to users, media streams must be segmented into media objects and time constraints among these objects must be speciied and maintained. New management...

We propose a practical approach to the progressive processing of (FWR) XQuery queries on multiple XML streams, called Twig’n Join (or TnJ). The query is decomposed into a query plan combining several twig queries on the individual streams, followed by a multi-way join and a final twig query. The processing is itself accordingly decomposed into three pipelined stages progressively producing stre...