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Multimedia Analysis with Deep Learning

机译:深度学习的多媒体分析

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Recently, deep learning method has been attracting more and more researchers due to its great success in various computer vision tasks. Particularly, some researchers focus on the study of multimedia analysis by deep learning method, and the research tasks mainly include the following six aspects: classification, retrieval, segmentation, tracking, detection and recommendation. As far as we know, there is not any literature conducting on survey of these studies, and it is of great significance for the community to review this subject. In this paper, we discuss the application of deep learning method in the six multimedia analysis tasks, and also point out the future directions of deep learning in multimedia analysis.
机译:近年来,由于深度学习方法在各种计算机视觉任务中的巨大成功,已吸引了越来越多的研究人员。特别地,一些研究者专注于通过深度学习方法进行多媒体分析的研究,研究任务主要包括以下六个方面:分类,检索,分割,跟踪,检测和推荐。据我们所知,目前尚无任何文献对这些研究进行调查,这对社区审查这一主题具有重要意义。在本文中,我们讨论了深度学习方法在六个多媒体分析任务中的应用,并指出了深度学习在多媒体分析中的未来方向。

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