We study a streaming cloud formed by distributed proxies providing live video service to diverse users (e.g., smart TVs, PCs, tablets, mobile phones, etc.). The proxies form a pushbased overlay network, with each proxy serving a certain video bitrate for users to join. To form a proxy overlay serving heterogeneous bitrates, we consider that the video is encoded into multiple MDC (Multiple-Descr...

Restoration programs are expanding worldwide, but assessments of restoration effectiveness are rare. The objectives of our study were to assess current acid-precipitation remediation programs in streams of the Allegheny Plateau ecoregion of West Virginia (USA), identify specific attributes that could and could not be fully restored, and quantify temporal trends in ecosystem recovery. We sampled...

Advanced collaborative environments frequently need to transfer highly demanding multimedia data streams with minimum possible latency. Since bandwidths of the streams are close to capacities of currently available links, routing of data transfers therefore requires planning with respect to link capacities and latency optimization. This paper describes integer linear programming techniques for ...

Social networks generate a large amount of text content over time because of continuous interaction between participants. The mining of such social streams is more challenging than traditional text streams, because of the presence of both text content and implicit network structure within the stream. The problem of event detection is also closely related to clustering, because the events can on...

This paper introduces Medusa, a distributed sound environment that allows several machines connected in a local area network to share multiple streams of audio and MIDI, and to replace hardware mixers and also specialized multi-channel audio cables by network communication. Medusa has no centralized servers: any computer in the local environment may act as a server of audio/MIDI streams, and as...

Action recognition is an important yet challenging task in computer vision. In this paper, we propose a novel deepbased framework for action recognition, which improves the recognition accuracy by: 1) deriving more precise features for representing actions, and 2) reducing the asynchrony between different information streams. We first introduce a coarse-to-fine network which extracts shared dee...

The ability to carry stream information over a range of network types in a managed way will become an essential requirement for telecommunication network operators as future services evolve to include the transmission of audio/video and bulk data streams. This paper details the architecture of a working pan-European demonstrator offering multimedia services through the integration of stream con...

QoS requirements in video multicast services are diverse due to the heterogeneity of the network and clients, and the difference in users’ preferences on the requested video quality. In previous work, we have proposed a multicast tree construction algorithm, considering an active network in which active nodes can filter or transcode the video stream, which assists the server to provide various ...

Heterogeneous MultiCast (HMC) is a communication paradigm for distributing real-time streams among multiple session participants that have diierent constraints and reception preferences. In HMC, sources ooer streams to the participants , and each participant speciies individualized delity level for each stream he/she wants to receive. Participants can change their speciication in mid-session. T...

We show a novel execution method of queries over structural data. We present the idea in detail on SBQL (a.k.a. AOQL)—a powerful language with clean semantics. SBQL stands for the Stack-Based Query Language. The stack used in its name and semantics is a heavy and centralised structure which makes parallel and stream processing unfeasible. We propose to process stack-based queries without a stac...