场景识别是一种用计算机实现人的视觉功能的技术,它的研究目标是使计算机能够对图像或视频进行处理,自动识别和理解图像和视频中的场景信息;由于场景识别技术拥有广泛的应用前景,因此得到了许多关注;随着大数据时代的来临和深度学习的发展,使用深度学习方法解决场景识别问题已经成为场景识别领域未来的发展方向;文章首先概述介绍了场景识别技术的主要研究内容和发展情况,之后阐述了在图像场景识别中深度学习方法的应用情况,然后介绍了一些在图像场景识别中深度学习方法应用的具体的典型案例,同时给出了这几种方法具体的对比与分析;最后给出了文章的结论,总结了当前图像场景识别中使用深度学习方法的发展情况,并且对未来的发展方向给出了一些展望和建议.%Scene recognition is a technology,which can make computers realize the humans' visual function.The target of this technology is to make the computer recognize and understand the scene in images.It has attracted a lot of attentions because of the wide use of scene recognition.It came to the age of Big Data and the deep learning,so it has become an important developing direction that researchers use the deep learning to solve the problem of scene recognition.This article introduces the content and the present situation of the scene recognition first.Secondly,it illustrates the present situation of the applying of the deep learning in scene recognition.Thirdly,some algorithm is discussed and compared.Finally,the conclusion,prediction and advice are given.
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