Topic
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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Proceedings Article•
01 May 2006
TL;DR: The resulting corpus of speech and video data which is being collected for the above research currently includes data from 12 monthly sessions, comprising 71 video and 33 audio modules.
Abstract: At ATR, we are collecting and analysing meetings data using a table-top sensor device consisting of a small 360-degree camera surrounded by an array of high-quality directional microphones This equipment provides a stream of information about the audio and visual events of the meeting which is then processed to form a representation of the verbal and non-verbal interpersonal activity, or discourse flow, during the meeting This paper describes the resulting corpus of speech and video data which is being collected for the abovere search It currently includes data from 12 monthly sessions, comprising 71 video and 33 audio modules Collection is continuingmonthly and is scheduled to include another ten sessions
26 citations
TL;DR: The basic concepts of multimedia mining and its essential characteristics are provided to help the researchers to get the knowledge about how to do their research in the field of multimediamining.
Abstract: Multimedia data mining is a popular research domain which helps to extract interesting knowledge from multimedia data sets such as audio, video, images, graphics, speech, text and combination of several types of data sets. Normally, multimedia data are categorized into unstructured and semi-structured data. These data are stored in multimedia databases and multimedia mining is used to find useful information from large multimedia database system by using various multimedia techniques and powerful tools. This paper provides the basic concepts of multimedia mining and its essential characteristics. Multimedia mining architectures for structured and unstructured data, research issues in multimedia mining, data mining models used for multimedia mining and applications are also discussed in this paper. It helps the researchers to get the knowledge about how to do their research in the field of multimedia mining.
26 citations
TL;DR: It is shown that the task of CBMIR can be done more effectively using the relevance features than the original features, and additional performance gain is achieved by incorporating the new ranking scheme which modifies instance rankings based on the weighted average of relevance feature values.
26 citations
TL;DR: A methodology based on probabilistic, attributed context free grammar (PACFG) is proposed, which is applied to the OCPN/DTPN representation of a typical multimedia application vis-a-vis orchestrated presentation, demonstrating the appropriateness of this methodology.
Abstract: Multimedia applications comprise several media streams, which are semantically synchronized at different time instants. The application behavior is stored along with the multimedia database using representation mechanisms such as OCPN (object composition Petri nets) or dynamic timed Petri nets (DTPN). It is imperative that one translates the application behavior to the corresponding schedulable entities, such as packets, so that the performance engineering of any system can be done, using the traffic model arising out of the (media related) application behavior as opposed to individual media level behavior. This requires that a function be defined, which takes the stored temporal representation as input and produces packets as output, preserving the semantic relationships among the streams. The authors propose a methodology based on probabilistic, attributed context free grammar (PACFG) to address this issue. They demonstrate the appropriateness of this methodology by applying it to the OCPN/DTPN representation of a typical multimedia application vis-a-vis orchestrated presentation.
26 citations
07 Jun 1999
TL;DR: VisualMOQL, a visual query language implementing the image component of MOQL, is presented, which extends the standard object oriented query language OQL with some multimedia functionalities and is called MOQL.
Abstract: Multimedia data are now available to a variety of users ranging from naive to sophisticated. To make querying easy, visual query languages have been proposed. Most of these languages have a low expressive power and have their own query processors. Efforts have been made to design query languages with proper semantics to facilitate query optimization and processing in existing database systems. The majority of multimedia database systems are built on top of object or object-relational database systems with the underlying query facilities inherited. The DISIMA system is being built on top of a commercial OODBMS and we have chosen to extend the standard object oriented query language OQL with some multimedia functionalities. The resulting language is called MOQL. This paper presents VisualMOQL, a visual query language implementing the image component of MOQL.
25 citations