This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.

Addresses novel work in the area of multimedia data, IOT, and smart computing techniques Conducts a comprehensive overview of the state-of-the-art research work on multimedia analysis in IOT applications Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, published by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as acquisition editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as organizing chair (RICE-2019-2021), volume Editor (RICE-2018), Keynote speaker, session chair, Co-chair, publicity chair, publication chair, advisory board, Technical program Committee members in many international and national conferences and serve as guest editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in an edited book published by IGI Global, Springer and Elsevier. His research areas are Computer Networks, Data Mining, cloud computing and Secure Multiparty Computations, Theory of Computer Science and Design of Algorithms. He authored and Edited 23 computer science books in the field of Internet of Things, Data Mining, Biomedical Engineering, Big Data, Robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA.

Dr. Rohit Sharma is an assistant professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal. He serves as a book editor for 7 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He has received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as a guest editor in SCI Journal of Elsevier. He has actively been an organizing end of various reputed International conferences. He is serving as an editor and organizing chair to 3rd Springer International Conference on Microelectronics and Telecommunication (2019) and have served as the editor and organizing chair to 2nd IEEE International Conference on Microelectronics and Telecommunication (2018), the editor and organizing chair to IEEE International Conference on Microelectronics and Telecommunication (ICMETE-2016) held in India, the technical committee member in "CSMA2017, Wuhan, Hubei, China", "EEWC 2017, Tianjin, China" IWMSE2017 "Guangzhou, Guangdong, China", "ICG2016, Guangzhou, Guangdong, China", and "ICCEIS2016 Dalian Liaoning Province, China".

Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is a professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems and brain-computer interface. He is one of the associate editor of the Journal of Intelligent & Fuzzy Systems, IOS Press and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group.

Inhalt
Chapter 1. An Overview of Multimedia Technologies in Current era of Internet of Things (IoT).- Chapter 2. A Deeper Look into Wind Powered IoT based Sustainable Organic Compost Machine.- Chapter 3. An Intelligent Music Recommendation Framework for Multimedia Big Data: a Journey of Entertainment Industry.- Chapter 4. A survey on Multimedia Technology and Internet of Things.- Chapter 5. The Latest Emerging Technologies In Big Data.- Chapter 6. Realtime accident detection and alarm generation system over IoT.- Chapter 7. Smart Automobile Health Monitoring System.- Chapter 8. Fault Detection And Data Management for IIOT.- Chapter 9. Theoretical and Instructional Aspects of Using Multimedia Resources in Language Education: A Cognitive View.- Chapter 10. Data mining techniques for producing clustering in Big Data with MapReduce function.- Chapter 11. Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity.- Chapter 12. Study andDevelop an Effective Int faces to upload Data into Enterprise Resource Planning System.