多媒体挖掘研究综述

Q4 Mathematics

International Journal of Computational Geometry & Applications Pub Date : 2015-01-31 DOI:10.5121/IJCGA.2015.5105

S. Vijayarani, A. Sakila

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引用次数: 28

摘要

多媒体数据挖掘是一个热门的研究领域，它有助于从音频、视频、图像、图形、语音、文本等多媒体数据集以及几种类型数据集的组合中提取有趣的知识。通常，多媒体数据分为非结构化数据和半结构化数据。这些数据存储在多媒体数据库中，多媒体挖掘是利用各种多媒体技术和强大的工具从大型多媒体数据库系统中寻找有用信息的一种技术。本文介绍了多媒体挖掘的基本概念及其基本特征。本文还讨论了结构化和非结构化数据的多媒体挖掘体系结构、多媒体挖掘中的研究问题、用于多媒体挖掘的数据挖掘模型及其应用。它有助于研究人员了解如何在多媒体挖掘领域进行研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

MULTIMEDIA MINING RESEARCH - AN OVERVIEW

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.

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来源期刊

International Journal of Computational Geometry & Applications 数学-计算机：理论方法

CiteScore

0.80

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Computational Geometry & Applications (IJCGA) is a quarterly journal devoted to the field of computational geometry within the framework of design and analysis of algorithms. Emphasis is placed on the computational aspects of geometric problems that arise in various fields of science and engineering including computer-aided geometry design (CAGD), computer graphics, constructive solid geometry (CSG), operations research, pattern recognition, robotics, solid modelling, VLSI routing/layout, and others. Research contributions ranging from theoretical results in algorithm design — sequential or parallel, probabilistic or randomized algorithms — to applications in the above-mentioned areas are welcome. Research findings or experiences in the implementations of geometric algorithms, such as numerical stability, and papers with a geometric flavour related to algorithms or the application areas of computational geometry are also welcome.