An Ambient Intelligence Framework for the Provision of Geographically Distributed Multimedia Content to Mobility Impaired Users

2009 ◽  
pp. 99-119
Author(s):  
Dionysios D Kehagias ◽  
Dimitris Giakoumis ◽  
Dimitrios Tzovaras ◽  
Evangelos Bekiaris ◽  
Marion Wiethoff
Keyword(s):  
Ambient Intelligence ◽  
Multimedia Content ◽  
Distributed Multimedia ◽  
Geographically Distributed ◽  
Mobility Impaired

Features of Building Systems Based on Visualization of Distributed Multimedia Environment

2013 ◽  
Vol 8 (4) ◽  
pp. 118-124
Author(s):  
Boris Morozov ◽  
Boris Dolgovesov ◽  
Boris Mazurok ◽  
Mikhail Gorodilov
Keyword(s):  
Real Time ◽  
Virtual Environment ◽  
Multimedia Content ◽  
Distributed Multimedia ◽  
Multiple Sources ◽  
Building Systems ◽  
Multimedia Environment ◽  
Environment Control ◽  
Technical Solutions

An approach to the development of technical solutions for the creating of a real-time Distributed Multimedia Virtual Environment is described. The main objective of the environment - control the formation and delivery of multimedia content from multiple sources to multiple recipients

Towards Coordinated Data Management For High-Performance Distributed Multimedia Content Analysis

2008 ◽  
pp. 133-145
Author(s):  
Pierpaolo Giacomin ◽  
Alessandro Bassi ◽  
Frank J. Seinstra ◽  
Thilo Kielmann
Keyword(s):  
Content Analysis ◽  
Data Management ◽  
High Performance ◽  
Multimedia Content ◽  
Distributed Multimedia ◽  
Multimedia Content Analysis

Geographically Distributed Cloud-Based Collaborative Application

2012 ◽  
pp. 248-274 ◽  
Author(s):  
Bogdan Solomon ◽  
Dan Ionescu ◽  
Cristian Gadea ◽  
Marin Litoiu
Keyword(s):  
Response Times ◽  
Multimedia Content ◽  
Single Server ◽  
Web Content ◽  
Web Based ◽  
Geographically Distributed ◽  
Distributed Execution ◽  
User Demand ◽  
Distributed Cloud ◽  
Collaborative Application

The amount of multimedia content on the Internet has been growing at a remarkable rate, and users are increasingly looking to share online media with colleagues and friends on social networks. Several commercial and academic solutions have attempted to make it easier to share this large variety of online content with others, but they are generally limited to only sending Web links. At the same time, existing products have not been able to provide a scalable system that synchronizes disparate Web content sources among many users in real-time. Such a goal is especially desired in order to provide the benefits of cloud deployments to collaborative applications. Many Web-based applications cannot predict the number of connections that they may need to handle. As such, applications must either provision a higher number of servers in anticipation of more traffic, or be faced with a degradation of the user experience when a large number of clients connect to the application. Cloud-based deployments can alleviate these issues by allowing the application’s server base to auto scale based on the user demand. A cloud deployment can also employ servers in different geographic locations in order to offer better latency and response times to its clients. Moving a collaborative application from using a single server to a cloud and then to a distributed cloud is not a trivial matter, however. This chapter will show our experience with how such a transition can be performed, and will present the architectural changes that had to be implemented at the server and cloud level in order to create a distributed execution that resides in the cloud.

Rights Management in Architectures for Distributed Multimedia Content Applications

2011 ◽  
pp. 335-347 ◽  
Author(s):  
Jaime Delgado ◽  
Víctor Torres ◽  
Silvia Llorente ◽  
Eva Rodríguez
Keyword(s):  
Multimedia Content ◽  
Distributed Multimedia ◽  
Rights Management

scholarly journals Designing an intelligent home media center

2016 ◽  
Vol 29 (3) ◽  
pp. 461-474 ◽  
Author(s):  
Igor Djuric ◽  
Vanjica Ratkovic-Zivanovic ◽  
Milica Labus ◽  
Dragana Groj ◽  
Nikola Milanovic
Keyword(s):  
Quality Of Life ◽  
Ambient Intelligence ◽  
Multimedia Content ◽  
Client Server ◽  
Media Center ◽  
Multimedia Contents ◽  
Design And Implementation ◽  
Intelligent Home ◽  
Server Architecture

This paper presents design and implementation of a personal intelligent home media center. The primary goal was to increase the quality of life with the use of ambient intelligence in smart homes. The solution presented here uses client-server architecture with network-attached storage for storing all multimedia contents. Sensors are used to identify person?s presence and ambient intelligence techniques to recommend the most suitable multimedia content to end-users. The major advantages of this personal intelligent home media center are speed, intelligence, inexpensive components and scalability. The implementation was done in within one home media center, for the evaluation purposes.

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