-----------------------------------------------------------------ABSTRACT-------------------------------------------------------------The Wireless Sensor Networks (WSNs) have advanced to the multimedia processing and streaming applications in the recent past with the advent of higher end motes like the iMote2. The data rates available from the radios of the WSN nodes are low so that for streami...

Œe name disambiguation task partitions a collection of records pertaining to a given name, such that there is a one-to-one correspondence between the partitions and a group of people, all sharing that given name. Most existing solutions for this task are proposed for static data. However, more realistic scenarios stipulate emergence of records in a streaming fashion where records may belong to ...

In this study, we designed and constructed a live media streaming system to broadcast important activities such as: graduation ceremonies, sport games, and banquets. There are many different streaming systems and coding formats. In this study, the selecting procedure would be conducted to find suitable and stable technology for implementing live broadcast service, and evaluate the feasibility o...

providing a high-quality service for transmission and playing real-time voice conversations (voice streaming) over wireless ad-hoc networks is no mean feat. buffering together with adjusting the playout time of the packets is a receiver-side solution to overcome this challenge. in this paper, a new adaptive playout adjustment algorithm is proposed to stream the voice conversations over wireless...

The main objective of this article is to provide an overview of P2P based Video-on-Demand and live streaming services. The article starts with an introduction to media streaming and its simplified architecture. Various solutions offering video streaming in the context of widespread usage of Internet are discussed. This is followed by a short introduction to P2P networks and its applications. A ...

Data streams classification is an important problem however, poses many challenges. Since the length of the data is theoretically infinite, it is impractical to store and process all the historical data. Data streams also experience change of its underlying distribution (concept drift), thus the classifier must adapt. Another challenge of data stream classification is the possible emergence and...

In this thesis, we give efficient algorithms and near-tight lower bounds for the following problems in the streaming model. Improving on the works of Monemizadeh and Woodruff from SODA’10 and Andoni, Krauthgamer and Onak from FOCS’11, we give Lp-samplers requiring O( −p log n) space for p ∈ (1, 2). Our algorithm also works for p ∈ [0, 1], taking Õ( −1 log n) space. As an application of our samp...

Pervasive and sensor-driven systems are by nature open and extensible, both in terms of input and tasks they are required to perform. Data streams coming from sensors are inherently noisy, imprecise and inaccurate, with di↵ering sampling rates and complex correlations with each other. These characteristics pose a significant challenge for traditional approaches to storing, representing, exchang...

This paper presents a method for 3D model-based tracking of colored objects using a sampling methodology. The problem is formulated in a Monte Carlo filtering approach, whereby the state of an object is represented by a set of hypotheses. The main originality of this work is an observation model consisting in the comparison of the color information in some sampling points around the target’s hy...