Towards human-like and transhuman perception in AI 2.0: a review

doi:10.1631/FITEE.1601804

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 视频内容安全

	Towards human-like and transhuman perception in AI 2.0: a review
	Tian, Yong-hong 1; Chen, Xi-lin 2; Xiong, Hong-kai 3; Li, Hong-liang 4; Dai, Li-rong 5; Chen, Jing1 ; Xing, Jun-liang; Chen, Jing7 ; Wu, Xi-hong 1; Hu, Wei-min 6; Hu, Yu 5; Huang, Tie-jun 1; Gao, Wen 1
发表期刊	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
	2017
卷号	18 期号:1 页码:58-67
文章类型	Review
摘要	Perception is the interaction interface between an intelligent system and the real world. Without sophisticated and flexible perceptual capabilities, it is impossible to create advanced artificial intelligence (AI) systems. For the next-generation AI, called 'AI 2.0', one of the most significant features will be that AI is empowered with intelligent perceptual capabilities, which can simulate human brain's mechanisms and are likely to surpass human brain in terms of performance. In this paper, we briefly review the state-of-the-art advances across different areas of perception, including visual perception, auditory perception, speech perception, and perceptual information processing and learning engines. On this basis, we envision several R&D trends in intelligent perception for the forthcoming era of AI 2.0, including: (1) human-like and transhuman active vision; (2) auditory perception and computation in an actual auditory setting; (3) speech perception and computation in a natural interaction setting; (4) autonomous learning of perceptual information; (5) large-scale perceptual information processing and learning platforms; and (6) urban omnidirectional intelligent perception and reasoning engines. We believe these research directions should be highlighted in the future plans for AI 2.0.
关键词	Intelligent Perception Active Vision Auditory Perception Speech Perception Autonomous Learning
WOS标题词	Science & Technology ; Technology
DOI	10.1631/FITEE.1601804
关键词[WOS]	SPEECH RECOGNITION ; RECONSTRUCTION ; NETWORKS
收录类别	SCI
语种	英语
项目资助者	Strategic Consulting Research Project of Chinese Academy of Engineering(2016-ZD-04-03)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号	WOS:000394541200005
引用统计	被引频次：26[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14401
专题	多模态人工智能系统全国重点实验室_视频内容安全
作者单位	1.Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China 4.Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 611730, Peoples R China 5.Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Peoples R China 6.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 7.Beijing Inst Technol, Sch Optoelect, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Tian, Yong-hong,Chen, Xi-lin,Xiong, Hong-kai,et al. Towards human-like and transhuman perception in AI 2.0: a review[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2017,18(1):58-67.
APA	Tian, Yong-hong.,Chen, Xi-lin.,Xiong, Hong-kai.,Li, Hong-liang.,Dai, Li-rong.,...&Gao, Wen.(2017).Towards human-like and transhuman perception in AI 2.0: a review.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,18(1),58-67.
MLA	Tian, Yong-hong,et al."Towards human-like and transhuman perception in AI 2.0: a review".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 18.1(2017):58-67.

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FITEE17AI2.pdf（452KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览