基于深度学习技术和框架的近重复视频检索研究

D. Phalke, Sunita Jahirabadkar
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引用次数: 3

摘要

机器学习领域正在经历黄金时代。深度学习是机器学习的子领域,在各个领域都有惊人的应用。信息的感知是通过使用不同层次的深度学习来提取的。卷积神经网络(CNN)、生成对抗网络(GAN)等众多深度学习算法彻底改变了数据科学和大数据研究人员的观点。然而,在这个极快节奏的领域,仍然有巨大的学习空间。深度学习在近重复视频检索(NDVR)中的应用表明了各种深度学习算法在研究人员中的普及。本调查概述了使用深度学习的近重复视频检索(NDVR),以及近年来革命性深度学习框架、工具及其应用的发展和使用趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Near Duplicate Video Retrieval Using Deep Learning Techniques and Framework
The field of machine learning is going through its golden era. Deep Learning, the subfield of Machine Learning has seen amazing applications in various areas. The perception of information is extracted by using different layers of Deep Learning. Numerous deep learning algorithms like Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN) have completely changed the viewpoint of researchers of data science and big data. However, still there is huge scope of learning in this extremely quick-paced domain. The use of deep learning for Near Duplicate Video Retrieval (NDVR) shows the popularity of various algorithms of deep learning amongst researchers. This survey provides an overview of Near Duplicate Video Retrieval (NDVR) using deep learning and trends in development and usage of revolutionary Deep Learning frameworks, tools and their applications in recent years.
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