An Analysis Of Approaches To Efficient Hardware Realization Of Image Compression Algorithms

This book presents four keynote speeches, eight invited papers and over a hundred papers selected from 180 submissions from more than 25 countries around the world. The contributions investigate applications of computational intelligence and multimedia in various areas, such as artificial intelligence, artificial neural networks, pattern recognition, evolutionary computations, logic synthesis, fuzzy logic, image processing, image retrieval, virtual reality, etc.

This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.

This volume contains the Proceedings of the 13th International Conference on Image Analysis and Processing (ICIAP 2005), held in Cagliari, Italy, at the conference centre “Centro della Cultura e dei Congressi”, on September 6–8, 2005. ICIAP 2005 was the thirteenth edition of a series of conferences organized every two years by the Italian group of researchersa?liated to the International Association for Pattern Recognition (GIRPR) with the aim to bring together researchers in image processing and pattern recognition from around the world. As for the previous editions, conference topics concerned the theory of image analysis and processing and its classical and Internet-driven applications. The central theme of ICIAP 2005 was “Pattern Recognition in the Internet and Mobile Communications Era”. The interest for such a theme was con?rmed by the large number of papers dealing with it, the special session devoted to pattern recognition for computer network security, and the emphasis of two invited talks on Internet and mobile communication issues. ICIAP 2005 received 217 paper submissions. Fifteen papers were collected into the two special sessions dealing with Pattern Recognition for Computer Network Security and Computer Vision for Augmented Reality and Augmented Environments.

MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.

Opening with a detailed review of existing techniques for selective encryption, this text then examines algorithms that combine both encryption and compression. The book also presents a selection of specific examples of the design and implementation of secure embedded multimedia systems. Features: reviews the historical developments and latest techniques in multimedia compression and encryption; discusses an approach to reduce the computational cost of multimedia encryption, while preserving the properties of compressed video; introduces a polymorphic wavelet architecture that can make dynamic resource allocation decisions according to the application requirements; proposes a light-weight multimedia encryption strategy based on a modified discrete wavelet transform; describes a reconfigurable hardware implementation of a chaotic filter bank scheme with enhanced security features; presents an encryption scheme for image and video data based on chaotic arithmetic coding.

Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possible with lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compression algorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment.

Fundamental Data Compression provides all the information students need to be able to use this essential technology in their future careers. A huge, active research field, and a part of many people's everyday lives, compression technology is an essential part of today's Computer Science and Electronic Engineering courses. With the help of this book, students can gain a thorough understanding of the underlying theory and algorithms, as well as specific techniques used in a range of scenarios, including the application of compression techniques to text, still images, video and audio. Practical exercises, projects and exam questions reinforce learning, along with suggestions for further reading. * Dedicated data compression textbook for use on undergraduate courses * Provides essential knowledge for today's web/multimedia applications * Accessible, well structured text backed up by extensive exercises and sample exam questions