Intelligent Image and Video Analytics: Clustering and Classification Applications

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications.

Features:

• Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics.
• Explores important applications that require techniques from both artificial intelligence and computer vision.
• Describes multimodality video analytics for different applications.
• Examines issues related to multimodality data fusion and highlights research challenges.
• Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities.

This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.

影片包含豐富的資訊，包括元數據、視覺、音訊、空間和時間數據，可以進行分析以提取各種低級和高級特徵，並使用機器學習算法建立預測性計算模型，以發現有趣的模式、概念、關係和關聯。本書回顧了基本主題，並討論了視頻數據挖掘和分析的新興方法和潛在應用。它將智能系統、數據挖掘和知識發現、大數據分析、機器學習、神經網絡和深度學習等領域融合在一起，重點關注多模態視頻分析和研究/應用的最新進展。

特點：
- 提供了智能視頻分析技術的最新覆蓋範圍。
- 探索了需要人工智能和計算機視覺技術的重要應用。
- 描述了不同應用的多模態視頻分析。
- 檢查了與多模態數據融合相關的問題，並突出了研究挑戰。
- 將視頻處理、數據挖掘和機器學習等各種技術融合在一起，這在智能環境、智能家居和智慧城市的室內外應用中有許多新興應用。

本書旨在針對圖像處理、視頻分析、計算機科學和工程、信號處理、機器學習和電氣工程的研究人員、專業人士和研究生。

El-Sayed M. El-Alfy is currently a Professor with the Information and Computer Science Department, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He is also affiliated with the University Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS). He has over 25 years of experience in industry and academia, involving research, teaching, supervision, curriculum design, program assessment, and quality assurance in higher education. He is an approved ABET/CSAB Program Evaluator (PEV), and a Reviewer and a Consultant for NCAAA and several universities and research agents in various countries. He is an active Researcher with interests in fields related to machine learning and nature inspired computing and applications to data science and cybersecurity analytics, pattern recognition, multimedia forensics, and security systems. He has published numerously in peer-reviewed international journals and conferences, edited a number of books published by reputable international publishers, attended and contributed in the organization of many world-class international conferences, and supervised master and Ph.D. students. He is a senior member of IEEE and was also a member of ACM, the IEEE Computational Intelligence Society, the IEEE Computer Society, the IEEE Communication Society, and the IEEE Vehicular Technology Society. His work has been internationally recognized and received a number of awards. He has served as a Guest Editor for a number of special issues in international journals, and been on the editorial board of a number of premium international journals.

George Bebis received the B.S. degree in mathematics and the M.S. degree in computer science from the University of Crete, Crete, Greece, in 1987 and 1991, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Central Florida, Orlando, FL, USA, in 1996. He is currently a Foundation Professor with the Department of Computer Science and Engineering (CSE), University of Nevada, Reno (UNR), Reno, NV, USA, and the Director of the Computer Vision Laboratory. From 2013 to 2018, he served as a Department Chair of CSE, UNR. His research has been funded by NSF, NASA, ONR, NIJ, and Ford Motor Company. His research interests include computer vision, image processing, pattern recognition, machine learning, and evolutionary computing. Dr. Bebis is an Associate Editor of the Machine Vision and Applications Journal and serves on the Editorial Board of the International Journal on Artificial Intelligence Tools, the Pattern Analysis and Applications, and the Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. He has served on the program committees of various national and international conferences and the Founder/main Organizer of the International Symposium on Visual Computing.

MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined New Jersey Institute of Technology (NJIT), Newark, NJ in 1990, and is now a Distinguished Professor of Electrical and Computer Engineering. His research interests are in Petri nets, intelligent automation, Internet of Things, big data, web services, and intelligent transportation. He has over 900 publications including 12 books, 600+ journal papers (500+ in IEEE TRANSACTIONS), 29 patents and 29 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering and Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man and Cybernetics Society. He is founding Chair/Co-chair of Enterprise Information Systems Technical Committee (TC), Environmental Sensing, Networking, and Decision-making TC and AI-based Smart Manufacturing Systems TC of IEEE SMC Society. He has been among most highly cited scholars for years and ranked top one in the field of engineering worldwide in 2012 by Web of Science/Thomson Reuters and now Clarivate Analytics. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is a Fellow of International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).

El-Sayed M. El-Alfy目前是沙特阿拉伯國王法赫德石油與礦物大學（KFUPM）資訊與電腦科學系的教授。他還隸屬於大學跨學科智慧安全系統研究中心（IRC-ISS）。他在工業和學術界擁有超過25年的經驗，涉及研究、教學、指導、課程設計、課程評估和高等教育質量保證。他是經過批准的ABET/CSAB計劃評估員（PEV），並且是NCAAA和多個國家的幾所大學和研究機構的評審和顧問。他是一位活躍的研究人員，對機器學習和自然啟發計算以及數據科學和網絡安全分析、模式識別、多媒體取證和安全系統等領域感興趣。他在同行評審的國際期刊和會議上發表了大量論文，編輯了多本由知名國際出版商出版的書籍，參加並貢獻了許多世界一流的國際會議的組織工作，並指導碩士和博士生。他是IEEE的高級會員，曾是ACM、IEEE計算智能學會、IEEE計算機學會、IEEE通信學會和IEEE車輛技術學會的成員。他的工作在國際上得到了認可並獲得了多個獎項。他曾擔任多個國際期刊的特刊客座編輯，並擔任多個頂級國際期刊的編輯委員會成員。

George Bebis於1987年和1991年分別在希臘克里特大學獲得數學學士學位和計算機科學碩士學位，並於1996年在美國佛羅里達中央大學獲得電機與計算機工程博士學位。他目前是內華達大學雷諾分校（UNR）計算機科學與工程系（CSE）的基金教授，並擔任計算機視覺實驗室的主任。從2013年到2018年，他擔任UNR CSE系的系主任。他的研究得到了NSF、NASA、ONR、NIJ和福特汽車公司的資助。他的研究興趣包括計算機視覺、圖像處理、模式識別、機器學習和進化計算。Bebis博士是《機器視覺與應用》期刊的副編輯，並擔任《人工智能工具》、《模式分析與應用》和《生物力學和生物醫學工程的計算機方法和成像與可視化》期刊的編輯委員會成員。他曾擔任多個國家和國際會議的程序委員會成員，並是國際視覺計算研討會的創辦人和主要組織者。

MengChu Zhou於1983年在南京理工大學獲得控制工程學士學位，1986年在北京理工大學獲得自動控制碩士學位，1990年在紐約雷薩勒理工學院獲得計算機和系統工程博士學位。他於1990年加入新澤西理工學院（NJIT），現任電氣與計算機工程系的傑出教授。他的研究興趣包括Petri網絡、智能自動化、物聯網、大數據、Web服務和智能交通。他發表了900多篇論文，包括12本書、600多篇期刊論文（其中500多篇發表在IEEE TRANSACTIONS上）、29項專利和29篇書章。他是IEEE Press系統科學與工程書系的創始編輯和IEEE/CAA自動化學報的主編。他是亞歷山大·馮·洪堡基金會頒發的美國高級科學家洪堡研究獎、Franklin V. Taylor紀念獎和Norbert Wiener獎的獲獎者。