Content-Based Visual Information Retrieval

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Features: This book comprehensively and systematically introduces the main concepts, basic principles, typical methods, practical techniques, and international research achievements and trends in content-based visual information retrieval. It is divided into four parts. Part 1 provides a general introduction to the main concepts, basic principles, and characteristics of typical systems in content-based visual information retrieval. Part 2 covers feature-based image retrieval methods and systems, discussing techniques that employ different image features. Part 3 introduces content-based video retrieval methods, involving technologies related to expression, analysis, organization, and other aspects. Part 4 presents current research trends and directions, as well as discussing new developments. Given the multidisciplinary and broad scope of content-based visual information retrieval, this book selects some distinctive technical methods for introduction, combining research achievements with illustrative examples to provide a comprehensive yet structured overview, facilitating learning and application. This book is suitable for researchers and professionals in fields such as information engineering, electronic engineering, computer science and technology, database management, media production and manufacturing, distance education and healthcare, public security, remote sensing, and military reconnaissance. It can also serve as a textbook or teaching reference for specialized courses in signal and information processing, communication and electronic systems, pattern recognition, computer vision, biomedical engineering, and related disciplines.