CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Cross-media analysis and reasoning: advances and directions
Peng, Yu-xin1; Zhu, Wen-wu2; Zhao, Yao3; Xu, Chang-sheng4; Huang, Qing-ming5; Lu, Han-qing4; Zheng, Qing-hua6; Huang, Tie-jun7; Gao, Wen7
Source PublicationFRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
2017
Volume18Issue:1Pages:44-57
SubtypeReview
AbstractCross-media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence. However, to the best of our knowledge, no existing work has summarized the state-of-the-art methods for cross-media analysis and reasoning or presented advances, challenges, and future directions for the field. To address these issues, we provide an overview as follows: (1) theory and model for cross-media uniform representation; (2) cross-media correlation understanding and deep mining; (3) cross-media knowledge graph construction and learning methodologies; (4) cross-media knowledge evolution and reasoning; (5) cross-media description and generation; (6) cross-media intelligent engines; and (7) cross-media intelligent applications. By presenting approaches, advances, and future directions in cross-media analysis and reasoning, our goal is not only to draw more attention to the state-of-the-art advances in the field, but also to provide technical insights by discussing the challenges and research directions in these areas.
KeywordCross-media Analysis Cross-media Reasoning Cross-media Applications
WOS HeadingsScience & Technology ; Technology
DOI10.1631/FITEE.1601787
WOS KeywordRETRIEVAL ; KNOWLEDGE ; SEMANTICS ; IMAGES ; CODES
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61371128 ; U1611461 ; 61425025 ; 61532005)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS IDWOS:000394541200004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14408
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R China
2.Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
3.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
6.Xi An Jiao Tong Univ, Dept Comp Sci & Technol, Xian 710049, Peoples R China
7.Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Peng, Yu-xin,Zhu, Wen-wu,Zhao, Yao,et al. Cross-media analysis and reasoning: advances and directions[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2017,18(1):44-57.
APA Peng, Yu-xin.,Zhu, Wen-wu.,Zhao, Yao.,Xu, Chang-sheng.,Huang, Qing-ming.,...&Gao, Wen.(2017).Cross-media analysis and reasoning: advances and directions.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,18(1),44-57.
MLA Peng, Yu-xin,et al."Cross-media analysis and reasoning: advances and directions".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 18.1(2017):44-57.
Files in This Item: Download All
File Name/Size DocType Version Access License
10.1631%2FFITEE.1601(981KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Peng, Yu-xin]'s Articles
[Zhu, Wen-wu]'s Articles
[Zhao, Yao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Peng, Yu-xin]'s Articles
[Zhu, Wen-wu]'s Articles
[Zhao, Yao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Peng, Yu-xin]'s Articles
[Zhu, Wen-wu]'s Articles
[Zhao, Yao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 10.1631%2FFITEE.1601787.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.