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Multimedia database

About: Multimedia database is a research topic. Over the lifetime, 1404 publications have been published within this topic receiving 19856 citations. The topic is also known as: Multimedia database & MMDB.


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Book ChapterDOI
27 Jun 1995
TL;DR: It is argued that multimedia database systems will be needed for the handling of today's and tomorrow’s information and extensible object-oriented databases are one of the most promising avenues currently explored.
Abstract: In every aspect of today’s professional and private life, information becomes the key to planning, decision making and cooperation. The current widely used databases have been developed for the storing and handling of business data of record and/or table format. Other types of data typically have to be stored in file systems of various complexities. Over the last ten years this deficit of databases has been recognized and new research/development efforts for extended/novel database management systems have been started. Object-oriented, deductive, active, multimedia, and hypertext databases are only some of these systems. In this paper we will argue that multimedia database systems will be needed for the handling of today’s and tomorrow’s information. These data again can be seen under a hypermedia document paradigm. To support these document structures and their manipulation, extensible object-oriented databases are one of the most promising avenues currently explored. We shall illustrate how such an approach can be used at the”data” end to integrate distributed and heterogeneous multimedia information sources and at the”usage” end to provide a broad range of paradigms for domain specific representation and handling mechanisms both in multi-user and cooperating user environments. This flexibility will ultimately be needed to support aspects like ubiquitous or domesticated computing for the information age to come.

4 citations

Book ChapterDOI
29 Aug 2007
TL;DR: This paper proposes a data allocation method with an optimal number of clusters and nodes based on a complexity analysis of CBR and validated the method through experiments with different high dimensional synthetic databases and implemented a query processing algorithm for full k nearest neighbors.
Abstract: Scaling up to large multimedia databases with high dimensional metadata descriptions while providing fast content-based retrieval (CBR) is getting increasingly important for many applications. To address this objective, we strive to exploit the popular parallel shared-nothing architecture. In this context, a major problem is data allocation on the different nodes in order to yield efficient parallel content-based retrieval. In this paper, assuming a clustering process and based on a complexity analysis of CBR, we propose a data allocation method with an optimal number of clusters and nodes. We validated our method through experiments with different high dimensional synthetic databases and implemented a query processing algorithm for full k nearest neighbors.

4 citations

Proceedings ArticleDOI
08 Jun 1997
TL;DR: A broadband multimedia telelearning system under development in the Multimedia Information Research Laboratory at the University of Ottawa aims at providing a seamless multimedia tele learning platform using the latest telecommunication and multimedia information processing technologies.
Abstract: We describe a broadband multimedia telelearning system under development in the Multimedia Information Research Laboratory at the University of Ottawa. The system aims at providing a seamless multimedia telelearning platform using the latest telecommunication and multimedia information processing technologies. The main technology components of the system are: media production center, courseware author system, multimedia database, courseware navigator, and on-line facilitator. All these components are distributed over an ATM network and work together to offer a multimedia interactive courseware service. An MHEG-based model is developed to achieve the interchange of reusable information between these components.

4 citations

Book ChapterDOI
05 Sep 2001
TL;DR: A global-schema construction methodology for a federation of these component systems is presented that allows the unrestricted extension of the global schema and a schema-independent query processing module for global schemas constructed with this methodology is designed.
Abstract: To build information systems today, a multimedia database system is needed which supports both structured data and media data. Because these two kinds of data differ significantly in their characteristics, the extension of traditional databases towards the support of media data is a very tedious task. As an alternative, the intelligent coupling of specialized component systems, i.e. traditional databases, media storage systems, and media retrieval systems, can be used to build a multimedia database system. In this paper, a global-schema construction methodology for a federation of these component systems is presented. It allows the unrestricted extension of the global schema. Furthermore, a schema-independent query processing module for global schemas constructed with this methodology is designed. It can handle the given distribution pattern. In addition, it explores the functionality of media retrieval systems concerning search functions and result restrictions.

4 citations

Book ChapterDOI
26 Oct 2011
TL;DR: A multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed, which supports different flexible query capabilities for the requirements of video users.
Abstract: In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.

4 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20232
20224
202113
20206
201911
201824