Integration of a course management system with interactive educational multimedia

With the recent emergence of open source course management systems, learning support infrastructures have received increased attention. More and more organisations adopt these systems to provide their educational services. Often, existing, locally developed learning support software – ranging from delivery support to multimedia content – have to be integrated into these new systems. We will report here on approaches to integrate educational multimedia into a (open source) course management system. We will use our own courseware environment – IDLE, the Interactive Database Learning Environment – and its integration into Moodle – an open source course management systems – to illustrate our experience

An efficient query optimization strategy for spatio-temporal queries in video databases

Cataloged from PDF version of article.The interest for multimedia database management systems has grown rapidly due to the need for the storage of huge volumes of multimedia data in computer systems. An important building block of a multimedia database system is the query processor, and a query optimizer embedded to the query processor is needed to answer user queries efficiently. Query optimization problem has been widely studied for conventional database systems; however it is a new research area for multimedia database systems. Due to the differences in query processing strategies, query optimization techniques used in multimedia database systems are different from those used in traditional databases. In this paper, a query optimization strategy is proposed for processing spatio-temporal queries in video database systems. The proposed strategy includes reordering algorithms to be applied on query execution tree. The performance results obtained by testing the reordering algorithms on different query sets are also presented. (C) 2003 Elsevier Inc. All rights reserved

Content And Multimedia Database Management Systems

A database management system is a general-purpose software system that facilitates the processes of defining, constructing, and manipulating databases for various applications. The main characteristic of the ‘database approach’ is that it increases the value of data by its emphasis on data independence. DBMSs, and in particular those based on the relational data model, have been very successful at the management of administrative data in the business domain. This thesis has investigated data management in multimedia digital libraries, and its implications on the design of database management systems. The main problem of multimedia data management is providing access to the stored objects. The content structure of administrative data is easily represented in alphanumeric values. Thus, database technology has primarily focused on handling the objects’ logical structure. In the case of multimedia data, representation of content is far from trivial though, and not supported by current database management systems

An Architecture for distributed multimedia database systems

In the past few years considerable demand for user oriented multimedia information systems has developed. These systems must provide a rich set of functionality so that new, complex, and interesting applications can be addressed. This places considerable importance on the management of diverse data types including text, images, audio and video. These requirements generate the need for a new generation of distributed heterogeneous multimedia database systems. In this paper we identify a set of functional requirements for a multimedia server considering database management, object synchronization and integration, and multimedia query processing. A generalization of the requirements to a distributed system is presented, and some of our current research and developing activities are discussed

Integration of Exploration and Search: A Case Study of the M3 Model

International audienceEffective support for multimedia analytics applications requires exploration and search to be integrated seamlessly into a single interaction model. Media metadata can be seen as defining a multidimensional media space, casting multimedia analytics tasks as exploration, manipulation and augmentation of that space. We present an initial case study of integrating exploration and search within this multidimensional media space. We extend the M3 model, initially proposed as a pure exploration tool, and show that it can be elegantly extended to allow searching within an exploration context and exploring within a search context. We then evaluate the suitability of relational database management systems, as representatives of today’s data management technologies, for implementing the extended M3 model. Based on our results, we finally propose some research directions for scalability of multimedia analytics

A Analysis of Different Type of Advance database System For Data Mining Based on Basic Factor

Normal databases are unable to handling such as large range and large amount of data. Then we need database to support creating, storage, indexing and retrieval of large and wide variety of data for mining. This research paper presents different ways of data mining for advance data as multimedia, spatial, Time-series and heterogeneous data and management of database is given to help to creating, storing, indexing and retrieval. This includes advanced data structures and use of metadata to store advance data like multimedia, spatial, Time-series and heterogeneous database. This research paper claim the database management systems should be extended to arrange new type of data and enable to search based on their contents. Media, Geometry, Time, Calendar objects and all type objects are modeled as attributes of abstract data types. This paper will be describe multimedia, spatial, time series and heterogeneous database as a point of data mining methods, database management technique, data type and application for advance database. DOI: 10.17762/ijritcc2321-8169.15020

Multimedia Database Systems and Oracle Video Streaming

The acquisition, generation, storage and processing of multimedia data incomputers and transmission over networks have grown tremendously in the recentpast. A multimedia database management system must support multimedia datatypes in addition to providing facilities for traditional DBMS function like databasecreation, data modeling, data retrieval, data access and organization, and dataindependence.In this paper we present several aspects of multimedia databases. Most ofthe classical database systems are extended to support the storage of multimediadata. This paper will focus on oracle database and in its datatypes for supporting thestorage and management of multimedia data, known as Intermedia. It is also shownthe architecture, configuration and implementation of video streaming. All themultimedia data are stored inside the oracle database so they will be undertransactional control. The implementation uses several tables to demonstrate all theprocess for doing it in the Oracle database with Helix server. We have created theprocedures in PL/SQL for inserting, retrieving the video and we have also used aPL/SQL package integrated with PHP script in order to help users to makesearching using keywords

Research in information managment at Dublin City University

The Information Management Group at Dublin City University has research themes such as digital multimedia, interoperable systems and database engineering. In the area of digital multimedia, a collaboration with our School of Electronic Engineering has formed the Centre for Digital Video Processing, a university designated research centre whose aim is to research, develop and evaluate content-based operations on digital video information. To achieve this goal, the range of expertise in this centre covers the complete gamut from image analysis and feature extraction through to video search engine technology and interfaces to video browsing. The Interoperable Systems Group has research interests in federated databases and interoperability, object modelling and database engineering. This report describes the research activities of the major groupings within the Information Management community in Dublin City University