Table Of ContentAdvances in Intelligent Systems and Computing 1233
Vijayan Sugumaran
Zheng Xu
Huiyu Zhou Editors
Application
of Intelligent Systems
in Multi-modal
Information Analytics
Proceedings of the 2020 International
Conference on Multi-model
Information Analytics (MMIA2020),
Volume 1
Advances in Intelligent Systems and Computing
Volume 1233
Series Editor
Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences,
Warsaw, Poland
Advisory Editors
Nikhil R. Pal, Indian Statistical Institute, Kolkata, India
Rafael Bello Perez, Faculty of Mathematics, Physics and Computing,
Universidad Central de Las Villas, Santa Clara, Cuba
Emilio S. Corchado, University of Salamanca, Salamanca, Spain
Hani Hagras, School of Computer Science and Electronic Engineering,
University of Essex, Colchester, UK
László T. Kóczy, Department of Automation, Széchenyi István University,
Gyor, Hungary
Vladik Kreinovich, Department of Computer Science, University of Texas
at El Paso, El Paso, TX, USA
Chin-Teng Lin, Department of Electrical Engineering, National Chiao
Tung University, Hsinchu, Taiwan
Jie Lu, Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, NSW, Australia
Patricia Melin, Graduate Program of Computer Science, Tijuana Institute
of Technology, Tijuana, Mexico
NadiaNedjah,DepartmentofElectronicsEngineering,UniversityofRiodeJaneiro,
Rio de Janeiro, Brazil
Ngoc Thanh Nguyen , Faculty of Computer Science and Management,
Wrocław University of Technology, Wrocław, Poland
Jun Wang, Department of Mechanical and Automation Engineering,
The Chinese University of Hong Kong, Shatin, Hong Kong
Theseries“AdvancesinIntelligentSystemsandComputing”containspublications
on theory, applications, and design methods of Intelligent Systems and Intelligent
Computing.Virtuallyalldisciplinessuchasengineering,naturalsciences,computer
and information science, ICT, economics, business, e-commerce, environment,
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intelligentsystemsandcomputingsuchas:computationalintelligence,softcomput-
ingincludingneuralnetworks,fuzzysystems,evolutionarycomputingandthefusion
of these paradigms, social intelligence, ambient intelligence, computational neuro-
science, artificial life, virtual worlds and society, cognitive science and systems,
Perception and Vision, DNA and immune based systems, self-organizing and
adaptive systems, e-Learning and teaching, human-centered and human-centric
computing, recommender systems, intelligent control, robotics and mechatronics
including human-machine teaming, knowledge-based paradigms, learning para-
digms,machineethics,intelligentdataanalysis,knowledgemanagement,intelligent
agents, intelligent decision making and support, intelligent network security, trust
management,interactiveentertainment,Webintelligenceandmultimedia.
The publications within “Advances in Intelligent Systems and Computing” are
primarily proceedings of important conferences, symposia and congresses. They
cover significant recent developments in the field, both of a foundational and
applicable character. An important characteristic feature of the series is the short
publication time and world-wide distribution. This permits a rapid and broad
dissemination of research results.
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EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink **
More information about this series at http://www.springer.com/series/11156
Vijayan Sugumaran Zheng Xu
(cid:129) (cid:129)
Huiyu Zhou
Editors
Application of Intelligent
Systems in Multi-modal
Information Analytics
Proceedings of the 2020 International
Conference on Multi-model Information
Analytics (MMIA2020), Volume 1
123
Editors
Vijayan Sugumaran Zheng Xu
Department ofDecision andInformation ShanghaiUniversity of Medicine
Sciences, andCenter forData Science andHealthSciences
andBigData Analytics Shanghai, China
Oakland University,School of Business
Administration
Rochester, MI,USA
HuiyuZhou
Department ofInformatics
University of Leicester
Leicester, UK
ISSN 2194-5357 ISSN 2194-5365 (electronic)
Advances in Intelligent Systems andComputing
ISBN978-3-030-51430-3 ISBN978-3-030-51431-0 (eBook)
https://doi.org/10.1007/978-3-030-51431-0
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Foreword
We are living in the era of data deluge. The world of big data exhibits a rich and
complex set of cross-media contents, such as text, image, video, audio, and
graphics. So far, great research efforts have been dedicated separately to big data
processing and cross-media mining, with well-grounded theoretical underpinnings
and great practical success. However, studies jointly considering cross-media big
data analytics are relatively sparse. This research gap needs our further attention,
sinceitwillbenefitavarietyofreal-worldapplications.Despiteitssignificanceand
value, it is non-trivial to analyze cross-media big data due to their heterogeneity,
large-scale volume, increasing size, unstructured nature, correlations, and noise.
Multi-modal information systems, which can be treated as the most significant
breakthroughinthepast10years,havegreatlyimpactedthemethodologiesutilized
in computer vision and achieved terrific progress in both academia and industry.
The 2020 International Conference on Multi-modal Information Analytics
(MMIA),buildingontheprevioussuccessesinShenyang,China(2019),isproudto
be in the 2nd consecutive conference year. The conference would not have been
possiblewithoutthecontributionsoftheauthors.Wesincerelythankalltheauthors
for their valuable contributions.
Wewould liketoexpressourthanks toProfessor VijayanSugumaran, Oakland
University;ProfessorXiaoWei,ShanghaiUniversity;andShunxiangZhang,Anhui
University of Science and Technology, for being the keynote speakers at the
conference.WethanktheSteeringCommittee,GeneralChairs,ProgramCommittee
Chairs, Organizing Chairs, and Workshop Chairs for their hard work. The local
organizers’ and the students’ help are also highly appreciated.
Our special thanks are due also to Editor Dr. Thomas Ditzinger for publishing
the proceedings in Advances in Intelligent Systems and Computing of Springer.
v
Organization
General Chairs
Tharam Dillon La Trobe University, Australia
Program Chairs
Huiyu Zhou Queen’s University Belfast, UK
Vijayan Sugumaran Oakland University, USA
Zheng Xu Shanghai University, China
Publication Chairs
Juan Du Shanghai University, China
Junyu Xuan University of Technology Sydney, Australia
Publicity Chairs
Shunxiang Zhang Anhui University of Science and Technology,
China
Neil. Y. Yen University of Aizu, Japan
Local Organizing Chairs
Daxu Wang Changzhou InstituteofMechatronicTechnology,
China
Ruifu Zhang Changzhou InstituteofMechatronicTechnology,
China
vii
viii Organization
Program Committee Members
William Bradley Glisson University of South Alabama, USA
George Grispos University of Limerick, Ireland
Abdullah Azfar KPMG Sydney, Australia
Aniello Castiglione Università di Salerno, Italy
Florin Pop University POLITEHNICA of Bucharest,
Romania
Ben Martini University of South Australia, Australia
Wei Wang The University of Texas at San Antonio, USA
Neil Yen University of Aizu, Japan
Meng Yu The University of Texas at San Antonio, USA
Shunxiang Zhang Anhui University of Science & Technology,
China
Guangli Zhu Anhui University of Science & Technology,
China
Tao Liao Anhui University of Science & Technology,
China
Xiaobo Yin Anhui University of Science & Technology,
China
Xiangfeng Luo Shanghai University, China
Xiao Wei Shainghai University, China
Huan Du Shanghai University, China
Zhiguo Yan Fudan University, China
Rick Church UC Santa Barbara, USA
Tom Cova University of Utah, USA
Susan Cutter University of South Carolina, USA
Zhiming Ding Beijing University of Technology, China
Yong Ge University of North Carolina at Charlotte, USA
T. V. Geetha Anna University, India
Danhuai Guo Computer Network Information Center, Chinese
Academy of Sciences, China
Jeng-Neng Hwang University of Washington, USA
Jianping Fang University of North Carolina at Charlotte, USA
Jianhui Li Computer Network Information Center, Chinese
Academy of Sciences, China
Yi Liu Tsinghua University, China
Foluso Ladeinde SUNY Korea, Incheon, South Korea
Kuien Liu Pivotal Inc, USA
Feng Lu Institute of Geographic Sciences and Natural
Resources Research, Chinese Academy
of Sciences, China
Ricardo J. Soares Magalhaes University of Queensland, Australia
D. Manjula Anna University, India
Alan Murray Drexel University, USA
Organization ix
S. Murugan SathyabamaInstituteofScienceandTechnology,
India
Yasuhide Okuyama University of Kitakyushu, Japan
S. Padmavathi Amrita University, India
Latha Parameswaran Amrita University, India
S. Suresh SRM University, India
Wei Xu Renmin University of China, China
Chaowei Phil Yang George Mason University, USA
Enwu Yin China CDC, USA
Hengshu Zhu Baidu Inc., China
Morshed Chowdhury Deakin University, Australia
Min Hu Shanghai University, China
Gang Luo Shanghai University, China
Juan Chen Shanghai University, China
Qigang Liu Shanghai University, China
Welcome Message
We are living in the era of data deluge. The world of big data exhibits a rich and
complex set of cross-media contents, such as text, image, video, audio, and
graphics. So far, great research efforts have been dedicated separately to big data
processing and cross-media mining, with well-grounded theoretical underpinnings
and great practical success. However, studies jointly considering cross-media big
data analytics are relatively sparse. This research gap needs our further attention,
sinceitwillbenefitavarietyofreal-worldapplications.Despiteitssignificanceand
value, it is non-trivial to analyze cross-media big data due to their heterogeneity,
large-scale volume, increasing size, unstructured nature, correlations, and noise.
Multi-modal information systems, which can be treated as the most significant
breakthroughinthepast10years,havegreatlyimpactedthemethodologiesutilized
in computer vision and achieved terrific progress in both academia and industry.
The 2020 International Conference on Multi-modal Information Analytics
(MMIA),buildingontheprevioussuccessesinShenyang,China(2019),isproudto
be in the 2nd consecutive conference year.
We are organizing the 2020 MMIA Conference at Changzhou organized by
Changzhou Institute of Mechatronic Technology, China. It will feature a technical
program of refereed papers selected by the International Program Committee,
keynote address.
xi
