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Multimedia Data Engineering Applications And Processing
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Book Synopsis Multimedia Data Engineering Applications and Processing by : Chen, Shu-Ching
Download or read book Multimedia Data Engineering Applications and Processing written by Chen, Shu-Ching and published by IGI Global. This book was released on 2013-02-28 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a variety of media types, multimedia data engineering has emerged as a new opportunity to create techniques and tools that empower the development of the next generation of multimedia databases and information systems. Multimedia Data Engineering Applications and Processing presents different aspects of multimedia data engineering and management research. This collection of recent theories, technologies and algorithms brings together a detailed understanding of multimedia engineering and its applications. This reference source will be of essential use for researchers, scientists, professionals and software engineers in the field of multimedia.
Book Synopsis Supervised and Unsupervised Data Engineering for Multimedia Data by : Suman Kumar Swarnkar
Download or read book Supervised and Unsupervised Data Engineering for Multimedia Data written by Suman Kumar Swarnkar and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis International Journal of Multimedia Data Engineering and Management, Vol 3 Iss 4 by : Chen
Download or read book International Journal of Multimedia Data Engineering and Management, Vol 3 Iss 4 written by Chen and published by IGI Publishing. This book was released on 2013-02-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by : Arun Kumar Sangaiah
Download or read book Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2018-08-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application
Book Synopsis International Journal of Multimedia Data Engineering and Management (Vol. 2, No. 2) by : Shu-Ching Chen
Download or read book International Journal of Multimedia Data Engineering and Management (Vol. 2, No. 2) written by Shu-Ching Chen and published by IGI Publishing. This book was released on 2011 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Supervised and Unsupervised Data Engineering for Multimedia Data by : Suman Kumar Swarnkar
Download or read book Supervised and Unsupervised Data Engineering for Multimedia Data written by Suman Kumar Swarnkar and published by John Wiley & Sons. This book was released on 2024-05-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence and Multimedia Data Engineering by : Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran
Download or read book Artificial Intelligence and Multimedia Data Engineering written by Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran and published by Bentham Science Publishers. This book was released on 2023-12-15 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications
Book Synopsis Intelligent Innovations in Multimedia Data Engineering and Management by : Bhattacharyya, Siddhartha
Download or read book Intelligent Innovations in Multimedia Data Engineering and Management written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2018-09-07 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.
Book Synopsis Video and Image Processing in Multimedia Systems by : Borko Furht
Download or read book Video and Image Processing in Multimedia Systems written by Borko Furht and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video and Image Processing in Multimedia Systems treats a number of critical topics in multimedia systems, with respect to image and video processing techniques and their implementations. These techniques include: Image and video compression techniques and standards, and Image and video indexing and retrieval techniques. Video and Image Processing in Multimedia Systems is divided into three parts. Part I serves as an introduction to multimedia systems, discussing basic concepts, multimedia networking and synchronization, and an overview of multimedia applications. Part II presents comprehensive coverage of image and video compression techniques and standards, their implementations and applications. Because multimedia data (specifically video and images) require efficient compression techniques in order to be stored and delivered in real-time, video and image compression is a crucial element of an effective multimedia system. In Part III attention is focused on the semantic nature of image and video source material, and how that material may be effectively indexed and retrieved. Topics discussed include static images, full-motion video, and the manner in which compressed representations can facilitate structural analysis. Part III concludes with an extended discussion of a case study. This book serves as an invaluable reference with respect to the most important standards in the field. Video and Image Processing in Multimedia Systems is suitable as a textbook for course use.
Book Synopsis Multimedia Data Processing and Computing by : Suman Kumar Swarnkar
Download or read book Multimedia Data Processing and Computing written by Suman Kumar Swarnkar and published by CRC Press. This book was released on 2023-11-28 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various machine learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally, the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner. The primary users for the book include undergraduate and postgraduate students, researchers, academicians, specialists, and practitioners in computer science and engineering.
Book Synopsis Enhancing Mathematics Understanding through Visualization: The Role of Dynamical Software by : Habre, Samer
Download or read book Enhancing Mathematics Understanding through Visualization: The Role of Dynamical Software written by Habre, Samer and published by IGI Global. This book was released on 2013-05-31 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics is, by its very nature, an abstract discipline. However, many students learn best by thinking in terms of tangible constructs. Enhancing Mathematics Understanding through Visualization: The Role of Dynamical Software brings these conflicting viewpoints together by offering visual representations as a method of mathematics instruction. The book explores the role of technology in providing access to multiple representations of concepts, using software applications to create a rich environment in which a students understanding of mathematical concepts can flourish. Both students and instructors of mathematics at the university level will use this book to implement various novel techniques for the delivery of mathematical concepts in their classrooms. This book is part of the Research Essential collection.
Book Synopsis Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications by : Oyekanlu, Emmanuel
Download or read book Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications written by Oyekanlu, Emmanuel and published by IGI Global. This book was released on 2023-04-03 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily growing in availability. However, for industrial leaders, finding applicable, cost effective, and readily implementable multimedia, AI, and data analytics methods for industrial applications remains a daunting, laborious, and very expensive endeavor since the ecosystem of these technologies keeps diverging. Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides a review of the state of the art regarding the integration of AI and multimedia technologies for smart manufacturing applications. It conducts a cost-benefit analysis regarding the benefits of the integration of specific AI and multimedia technologies in specific industrial manufacturing applications. Covering topics such as cognitive lead measurement, nonlinear filtering methods, and global product development, this premier reference source is a dynamic resource for business executives and managers, entrepreneurs, IT professionals, manufacturers, students and faculty of higher education, researchers, and academicians.
Author :Siddhartha Bhattacharyya Publisher :Springer Science & Business Media ISBN 13 :3642402550 Total Pages :278 pages Book Rating :4.6/5 (424 download)
Book Synopsis Soft Computing for Image and Multimedia Data Processing by : Siddhartha Bhattacharyya
Download or read book Soft Computing for Image and Multimedia Data Processing written by Siddhartha Bhattacharyya and published by Springer Science & Business Media. This book was released on 2013-10-04 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions. This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.
Book Synopsis Multimedia Engineering by : A. C. M. Fong
Download or read book Multimedia Engineering written by A. C. M. Fong and published by John Wiley & Sons. This book was released on 2006-10-02 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia technologies and the internet are increasingly intrinsic to our daily lives, and into the future will continue to transform the way we live. Multimedia Engineering describes the latest advances in this technology applied to the Internet and WWW. It immerses the reader into the development of many practical internet/ multimedia systems, offering an insight into a range of engineering problems and solutions. It provides a broad coverage of internet/WWW and multimedia processing, as well as transmission and practical applications. Provides an overview of state-of-the-art technologies Addresses commerical, industrial and educational applications and security and privacy issues. Offers a detailed background into how the internet has been used to support multimedia communications Assumes a practical and descriptive problem-solving approach, featuring many worked-through examples Written by widely published authors with years of research in the field Multimedia Engineering will appeal to graduate and senior undergraduate students in electrical and electronic engineering, industrial, systems & computer engineering. It will also be of interest to electrical, computer and systems engineers and web developers interested in, or already engaged in, this emerging field.
Book Synopsis Multimedia Big Data Computing for IoT Applications by : Sudeep Tanwar
Download or read book Multimedia Big Data Computing for IoT Applications written by Sudeep Tanwar and published by Springer. This book was released on 2019-07-17 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
Book Synopsis Signal Processing for Image Enhancement and Multimedia Processing by : Ernesto Damiani
Download or read book Signal Processing for Image Enhancement and Multimedia Processing written by Ernesto Damiani and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an edited volume, written by well-recognized international researchers with extended chapter style versions of the best papers presented at the SITIS 2006 International Conference. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It introduces new results on video coding on time-honored topic of securing image information. The book is designed for a professional audience composed of practitioners and researchers in industry. This book is also suitable for advanced-level students in computer science.
Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis
Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
