Intelligent multimedia news networks (IMNN).

Item

Title
Intelligent multimedia news networks (IMNN).
Identifier
AAI9986345
identifier
9986345
Creator
Khan, Shakil Hussain.
Contributor
Adviser: Syed V. Ahamed
Date
2000
Language
English
Publisher
City University of New York.
Subject
Computer Science | Mass Communications | Operations Research
Abstract
In this study an intelligent network for the news has been proposed. The study includes detailed analysis of developing the means to produce, distribute, and retrieve multimedia news over the intelligent network. The goal is to build the intelligence in the network so that all the stages of news creation, storage, management and delivery to regular subscribers and occasional customers are smooth, efficient and error-free.;The study discusses an intelligent system concept for network-based multimedia news and information services. A flexible information structure to support composition, linkage, reuse, indexing, versioning, access control, and presentation control for live and stored multi-media has also been discussed.;As part of the study the existing news services of Associated Press, Reuters, AFP and Down Jones were studied and several COMET III based simulation models had been developed. The model made efficient use of available multimedia and intelligent communications technologies, including but not limited to IP (Intelligent Peripherals) and SS7 (Signaling System Number 7).;We had analyzed in great detail and compared the commonly used current technologies in the current news wire systems with the future trends of deployment of ATM backbone with and without intelligent concepts. However, the model may be applicable to any other news and multimedia delivery system in the world. Besides its application to news and multimedia networks, somewhat similar model can also be used for wide range of applications, such as, distance learning, collaborative design, video catalog shopping, etc.
Type
dissertation
Source
PQT Legacy CUNY.xlsx
degree
Ph.D.
Item sets
CUNY Legacy ETDs