Artificial Intelligence: Computer Vision & Image Processing e-Books

Encompasses various aspects of recent image processing and pattern analysis innovations including, but not limited to, mobile image tracking, motion picture analysis, pattern classification, multisensory data fusion, 3D imaging, supporting routing protocols, brain computer interfaces, image restoration, and medical imaging.

Features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies.

Covers all aspects of image and video analysis from low-level early visions to high-level recognition. Highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.

Provides interdisciplinary research which evaluates the performance of machine visual models and systems in comparison to biological systems. Blending the ideas of current scientific knowledge and biological vision, this collection of new ideas intends to inspire approaches and cross-disciplinary research to applications in machine vision.

Aims to indentify the emerging research areas in Human Computer Interaction and discusses the current state of the arts in these areas. This collection of knowledge includes the basic concepts and technologies in language, as well as future developments in this area.

Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners.

Brings together the latest results from researchers involved in state-of-the art work in image and video segmentation, providing a collection of modern works made by more than 50 experts around the world.

Explores the latest research in image processing and pattern recognition for use in robotic real-time cryptography and surveillance applications. Includes chapters on topics ranging from biometric and facial recognition technologies, to digital image and video watermarking, among many others.

Brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.

Presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of their ability to naturally and effectively represent image models and data. This publication explores current activity and future applications of this fascinating and ground-breaking topic.

Includes the latest developments in computer vision methods applicable to various problems in multimedia computing. This publication presents discussions on new ideas, as well as problems in computer vision and multimedia computing.

Focuses on formalizing the solution element of patterns, providing tangible benefits to pattern users, researchers, scholars, academicians, practitioners and students working in the field of design patterns and software reuse. Explains details on several specification languages, allowing readers to choose the most suitable formal technique to solve their specific inquiries.