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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.
This volume presents the proceedings of Medicon 2016, held in Paphos, Cyprus. Medicon 2016 is the XIV in the series of regional meetings of the International Federation of Medical and Biological Engineering (IFMBE) in the Mediterranean. The goal of Medicon 2016 is to provide updated information on the state of the art on Medical and Biological Engineering and Computing under the main theme “Systems Medicine for the Delivery of Better Healthcare Services”. Medical and Biological Engineering and Computing cover complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems. Research and development in these areas are impacting the science and technology by advancing fundamental concepts in translational medicine, by helping us understand human physiology and function at multiple levels, by improving tools and techniques for the detection, prevention and treatment of disease. Medicon 2016 provides a common platform for the cross fertilization of ideas, and to help shape knowledge and scientific achievements by bridging complementary disciplines into an interactive and attractive forum under the special theme of the conference that is Systems Medicine for the Delivery of Better Healthcare Services. The programme consists of some 290 invited and submitted papers on new developments around the Conference theme, presented in 3 plenary sessions, 29 parallel scientific sessions and 12 special sessions.
Research on the nuclear matrix has grown enormously since Bereney and Coffey first reported its isolation and initial characterization in 1974. Since then, more than 1000 papers have been published on the subject by numerous workers around the world. This is the first book devoted to reviewing the major developments in this growing field. Key Features * The chapters cover a variety of topics, including: * Isolation of the nuclear matrix * Nuclear structure morphology in situ * Structural domains of the nuclear matrix and its components * Biochemistry and molecular biology of the matrix proteins and associated DNA and RNA * Functional properties associated with the nuclear matrix * DNA replication * Transcription * RNA splicing * Transcription regulation * Intranuclear and nucleocytoplasmic transport and targeting * Cell cycle regulation
THE STORY: In August of 1937, in a small town in eastern North Carolina, we meet the Avery family. Roma Avery is the widowed matriarch who still maintains a hold on her recently married son, Neal. He and his wife, Taw, a former school teacher, rent a room
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.