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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.


Papers
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Proceedings ArticleDOI
27 May 1996
TL;DR: This work proposes an approach which is able to identify the semantically correct presentations by composing Elementary Presentation Types corresponding to data attributes.
Abstract: The problem of presenting database query results has not sufficiently been investigated. The purpose of this work is to propose an approach which is able to identify the semantically correct presentations by composing Elementary Presentation Types corresponding to data attributes. Some effectiveness critcria are considered in order to identify those presentations which best match the user's goals and cognitive abilities.

3 citations

01 Jan 2002
TL;DR: In this article, the basic concept of computational modeling of perception processes for multimedia data is introduced, which are modeled as hierarchical inter-and intra-relations among information in physical, physiological, psychological and cognitive layers in perception.
Abstract: This paper introduces the basic concept of computational modeling of perception processes for multimedia data. Such processes are modeled as hierarchical inter- and intra- relationships amongst information in physical, physiological, psychological and cognitive layers in perception. Based on our framework, this paper gives the algorithms for content-based retrieval for multimedia database systems.

3 citations

Journal ArticleDOI
TL;DR: Intelligent multimedia provides a basis as briefed here for designing active databases with agents, multimedia and intelligent business objects for automated learning and discovery and customizing interface design.
Abstract: Intelligent multimedia provides a basis as briefed here for designing active databases with agents, multimedia and intelligent business objects. The field of automated learning and discovery has obvious financial and organizational memory applications. Financial companies have begun to analyze their customers' behavior in order to maximize the effectiveness of marketing efforts. There are basic applications to data discovery techniques with intelligence multimedia databases. Management process controls at times calls on warehoused data and relies on organizational memory to reach decision. The computing techniques, the Morph Gentzen deductive system and its models are applied towards an active multimedia database warehousing, model discovery, and customizing interface design. Intelligent visual computing paradigms are applied to define the multimedia computing paradigm and active databases. The Multimedia paradigms can be applied to customize KM database views for financial and organizational memory applications.

3 citations

Journal Article
TL;DR: In this article, the authors describe functionality for determining an object database management system's suitability for developing multimedia applications and discuss all levels of hardware and software support, as even the most ideal database software cannot operate independent of operating systems, networks, and hardware.
Abstract: We describe functionality for determining an object database management system's suitability for developing multimedia applications. We discuss all levels of hardware and software support, as even the most ideal database software cannot operate independent of operating systems, networks, and hardware. A review of the multimedia support provided by current commercial and research object database management systems is also included.

3 citations

Proceedings ArticleDOI
14 May 2006
TL;DR: The results provided will prove the efficiency of the adaptive time-frequency representation as a feature extraction stage and the matching pursuit concept and a dictionary composed of Gabor functions.
Abstract: The retrieval of soccer highlights is a suitable technique for video indexing, required by the multimedia database management or for the development of television on demand. For these purposes, it should be interesting to have an automatic annotation of events happened in soccer games. One solution consists in analyzing the audio soundtrack associated to the soccer video and to detect the interesting frames. In this paper we use the adaptive time-frequency decomposition of the soundtrack as a feature extraction procedure. This decomposition is based on the Matching Pursuit concept and a dictionary composed of Gabor functions. The parameters provided by these transformations constitute the input of the classification stage. The results provided for real soccer video will prove the efficiency of the adaptive time-frequency representation as a feature extraction stage.

3 citations


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