Annotated Bibliography On Multimedia Data - 3142 Words

ABSTRACT Multimedia data mining is a popular research domain which helps to extractinteresting 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. Keywords: Data Mining, Multimedia Mining, Clustering, Classification. 1. INTRODUCTION Multimedia data mining is used for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia mining is a subfield of data mining which is used to find interesting information of implicit knowledge from multimedia databases. Multimedia data are classified into five types; they are (i) text data, (ii) Image data (iii) audio data (iv) video data and (v) electronic andShow MoreRelatedPreparing an Annotated Bibliography Essay902 Words   |  4 PagesPreparing an Annotated Bibliography Lai, I. K. W., amp; Lam, F. K. S. (2010). Perception of various performance criteria by stakeholders in the construction sector Hong Kong. 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