Deep Learning
Deep Learning
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DOI：
10.4018/978-1-7998-1192-3.ch008
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Menaga D.;R. S.
中科院分区：
文献类型：
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作者：
Menaga D.;R. S.
随着软件工程技术、存储设备技术、网络技术和显示设备技术的发展，多媒体应用成为一个重要的研究领域。为了满足用户对多媒体信息的需求，必须建立一个高效的多媒体信息处理、访问和分析应用程序，以完成检索、推荐、搜索、分类和聚类等任务。深度学习是多媒体信息处理领域的一项新兴技术，它解决了传统和最新研究的危机。主要目的是通过使用深度学习来解决多媒体相关问题。讨论了深度学习革命的描述和特征。最后，还就不同领域的主要应用进行了说明。本章在对多媒体信息检索的成功讨论之后，分析了检索的危机，即对每一个多媒体对象的检索能力。
Multimedia application is a significant and growing research area because of the advances in technology of software engineering, storage devices, networks, and display devices. With the intention of satisfying multimedia information desires of users, it is essential to build an efficient multimedia information process, access, and analysis applications, which maintain various tasks, like retrieval, recommendation, search, classification, and clustering. Deep learning is an emerging technique in the sphere of multimedia information process, which solves both the crisis of conventional and recent researches. The main aim is to resolve the multimedia-related problems by the use of deep learning. The deep learning revolution is discussed with the depiction and feature. Finally, the major application also explained with respect to different fields. This chapter analyzes the crisis of retrieval after providing the successful discussion of multimedia information retrieval that is the ability of retrieving an object of every multimedia.