跨媒体分析与推理:研究进展与发展方向（英文）

发布时间：2018-01-22 19:53

本文关键词： 跨媒体分析跨媒体推理跨媒体应用　出处：《Frontiers of Information Technology & Electronic Engineering》2017年01期 　论文类型：期刊论文

【摘要】：跨媒体分析与推理是计算机科学的热点问题,也是人工智能中一个具有广阔前景的研究方向。目前,尚未有文献对跨媒体分析与推理的现有方法进行归纳总结并给出它的研究进展、挑战及发展方向。为解决这些问题,本文从七个方面进行综述:(1)跨媒体统一表征理论与模型;(2)跨媒体关联理解与深度挖掘;(3)跨媒体知识图谱构建与学习方法;(4)跨媒体知识演化与推理;(5)跨媒体描述与生成;(6)跨媒体智能引擎;(7)跨媒体智能应用。本文的目标是给出跨媒体分析与推理的方法、进展以及发展方向,吸引更多人关注该领域的最新进展,通过探讨面临的挑战和研究方向,为研究者提供重要参考。
[Abstract]:Cross-media analysis and reasoning is a hot topic in computer science and a promising research direction in artificial intelligence. There is no literature on cross-media analysis and reasoning of the existing methods to summarize and give its research progress, challenges and development direction. In order to solve these problems. This paper reviews the theory and model of cross-media unified representation from seven aspects. 2) Cross-media association understanding and depth mining; Construction and learning methods of cross-media knowledge map; 4) Cross-media knowledge evolution and reasoning; 5) cross-media description and generation; 6) Cross-media intelligent engine; The aim of this paper is to give the method, progress and development direction of cross-media analysis and reasoning, so as to attract more people to pay attention to the latest progress in this field. Through the discussion of the challenges and research direction, it provides an important reference for researchers.
【作者单位】： Institute
【基金】：supported by the National Natural Science Foundation of China(Nos.61371128,U1611461,61425025,and 61532005)
【分类号】：TP18
【正文快照】： 1 Introduction Along with the progress of human civilization and the development of science and technology,information acquisition,transmission,processing,and analysis have gradually changed from one form of media to multiple types of media such as text

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