Recent Advancements in Multimedia Data Processing and Security

Recent Advancements in Multimedia Data Processing and Security
Author: Ahmed A. Abd El-Latif
Publisher:
Total Pages: 0
Release: 2023
Genre: Artificial intelligence
ISBN: 9781668472170
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"The purpose of this book is to demonstrate the new development and application of Artificial intelligent algorithms for multimedia data processing, to solve the problem from multimedia analysis and multimedia processing to multimedia cybersecurity. This book bridges the gap between AI techniques, Multimedia Signal Processing and cybersecurity. This book connects various interdisciplinary domains related to Multimedia signal processing, cybersecurity for media data particularly the social data and will be highly beneficial for the students, researchers and academicians working in this area as this book will cover state-of-the art technologies around multimedia processing and cybersecurity techniques and their role in Media Data Analysis and performance. Furthermore, this book will be highly beneficial to IT experts working in security management and enhancement from cyber-security point of view as this book will present recent advancements and methods developed and deployed to ensure the high level cyber-security"--

Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques

Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques
Author: Abd El-Latif, Ahmed A.
Publisher: IGI Global
Total Pages: 307
Release: 2023-09-28
Genre: Computers
ISBN: 166847218X
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In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless opportunities for research and understanding human behavior, it also poses substantial challenges. The sheer volume of data overwhelms traditional processing methods, and harnessing its potential requires sophisticated tools. Furthermore, the need for ensuring data security and mitigating risks in the digital realm has never been more pressing. Academic scholars, researchers, and professionals grapple with these issues daily, seeking innovative solutions to unlock the true value of multimedia data while safeguarding privacy and integrity. Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques is a groundbreaking book that serves as a beacon of light amidst the sea of data-related challenges. It offers a comprehensive solution by bridging the gap between academic research and practical applications. By delving into topics such as deep learning, emotion recognition, and high-dimensional text clustering, it equips scholars and professionals with the innovative tools and techniques they need to navigate the complex landscape of multimedia data.

Advanced Applications in Osmotic Computing

Advanced Applications in Osmotic Computing
Author: Revathy, G.
Publisher: IGI Global
Total Pages: 393
Release: 2024-03-04
Genre: Computers
ISBN:
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The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.

Applications of Synthetic High Dimensional Data

Applications of Synthetic High Dimensional Data
Author: Sobczak-Michalowska, Marzena
Publisher: IGI Global
Total Pages: 315
Release: 2024-03-25
Genre: Computers
ISBN:
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The need for tailored data for machine learning models is often unsatisfied, as it is considered too much of a risk in the real-world context. Synthetic data, an algorithmically birthed counterpart to operational data, is the linchpin for overcoming constraints associated with sensitive or regulated information. In high-dimensional data, where the dimensions of features and variables often surpass the number of available observations, the emergence of synthetic data heralds a transformation. Applications of Synthetic High Dimensional Data delves into the algorithms and applications underpinning the creation of synthetic data, which surpass the capabilities of authentic datasets in many cases. Beyond mere mimicry, synthetic data takes center stage in prioritizing the mathematical domain, becoming the crucible for training robust machine learning models. It serves not only as a simulation but also as a theoretical entity, permitting the consideration of unforeseen variables and facilitating fundamental problem-solving. This book navigates the multifaceted advantages of synthetic data, illuminating its role in protecting the privacy and confidentiality of authentic data. It also underscores the controlled generation of synthetic data as a mechanism to safeguard private information while maintaining a controlled resemblance to real-world datasets. This controlled generation ensures the preservation of privacy and facilitates learning across datasets, which is crucial when dealing with incomplete, scarce, or biased data. Ideal for researchers, professors, practitioners, faculty members, students, and online readers, this book transcends theoretical discourse.

International Journal of Multimedia Data Engineering and Management, Issue 1

International Journal of Multimedia Data Engineering and Management, Issue 1
Author: Shu-Ching Chen
Publisher: IGI Publishing
Total Pages: 84
Release: 2010
Genre: Database management
ISBN: 9781613502952
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Recent advances in computing, networking, storage, and information technology have enabled the collection and distribution of vast amounts of multimedia data in a variety of applications such as entertainment, education, environmental protection, e-commerce, public safety, digital government, homeland security, and manufacturing. The proliferation of multimedia data and its rich semantics have created the needs for advanced techniques for in-depth content processing, analysis, indexing, learning, mining, searching, management, and retrieval. The International Journal of Multimedia Data Engineering and Management (IJMDEM) addresses the corresponding issues and challenges and publishes original research on new theories, algorithms, technologies, system design, and implementation in multimedia data engineering and management.

Research Anthology on Privatizing and Securing Data

Research Anthology on Privatizing and Securing Data
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 2188
Release: 2021-04-23
Genre: Computers
ISBN: 1799889556
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With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Intelligent Multimedia Signal Processing for Smart Ecosystems

Intelligent Multimedia Signal Processing for Smart Ecosystems
Author: Shabir A. Parah
Publisher: Springer Nature
Total Pages: 363
Release: 2023-09-30
Genre: Computers
ISBN: 3031348737
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A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications.

Multimedia Data Mining and Analytics

Multimedia Data Mining and Analytics
Author: Aaron K. Baughman
Publisher: Springer
Total Pages: 452
Release: 2015-03-31
Genre: Computers
ISBN: 3319149989
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This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

Supervised and Unsupervised Data Engineering for Multimedia Data

Supervised and Unsupervised Data Engineering for Multimedia Data
Author: Suman Kumar Swarnkar
Publisher: John Wiley & Sons
Total Pages: 251
Release: 2024-04-02
Genre: Medical
ISBN: 1119786428
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SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you’re a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
Author: Kamila, Narendra Kumar
Publisher: IGI Global
Total Pages: 506
Release: 2015-11-30
Genre: Computers
ISBN: 1466686553
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