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This comprehensive and accessible text/reference presents an overview of the state of the art in video coding technology. Specifically, the book introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding. Topics and features: Introduces the basic concepts in video coding, and presents a short history of video coding technology and standards Reviews the coding framework, main coding tools, and syntax structure of AVS2 Describes the key technologies used in the AVS2 standard, including prediction coding, transform coding, entropy coding, and loop-filters Examines efficient tools for scene video coding and surveillance video, and the details of a promising intelligent video coding system Discusses optimization technologies in video coding systems for reducing complexity, improving performance, and organizing compressed streams Provides a review of image, video, and 3D content quality assessment algorithms Surveys the hot research topics in video compression, including perceptual video compression, and Internet media-oriented compression This invaluable work provides practical guidance for engineers on implementing the AVS2 standard, and will also prove helpful to students wishing to better understand the relevant techniques. Additionally, the book offers suggestions for researchers interested in developing smart video coding and processing frameworks for target problems.

Digital video. --- Coding theory. --- Computer vision. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Digital motion video --- PC video --- Video, Digital --- Computer graphics --- Digital media --- Multimedia systems --- Digital techniques --- Multimedia systems. --- Coding and Information Theory. --- Multimedia Information Systems. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Information theory. --- Multimedia information systems. --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Communication theory --- Communication --- Cybernetics --- Optical equipment

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This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come.

Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- beeldverwerking --- machine learning --- computers --- database management --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- data acquisition

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The present book Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms is compilation of recent trends in computational intelligence (CI) research using inspiration from various sources such as biology, physics, chemistry, and mathematics. Innovative CI, unlike its counterparts, i.e., highly developed and refined traditional CI, is a new CI category introduced in the present book. The major notable feature of this book is its innovation and comprehensiveness: 134 new paradigms of CI are covered and most of them are usually spread over a number of unrelated publishing directions. This book is useful to multidisciplinary students including such as aeronautic engineering, mechanical engineering, industrial engineering, electrical and electronic engineering, chemical engineering, computer science, applied mathematics, physics, economy, biology, and social science, particularly those pursuing postgraduate studies in advanced subjects. Moreover, the algorithms introduced in this book can motivate researchers to further develop more efficient and effective algorithms in dealing with many cutting-edge challenges that may sit on the periphery of their present fields of interest. Finally, practitioners can also use the models presented in this book as a starting point to solve and analyse specific real-world problems. The book is carefully written to achieve a good balance between the theoretical depth and the comprehensiveness of the innovative CI paradigms.

Computational intelligence. --- Computer science. --- Informatics --- Intelligence, Computational --- Engineering. --- Image processing. --- Computational Intelligence. --- Image Processing and Computer Vision. --- Artificial intelligence --- Soft computing --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Construction --- Industrial arts --- Technology --- Science --- Computer vision. --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Intelligent agents (Computer software)