Content-Based Image and Video Retrieval

Focusing on the design of content-based image and video retrieval systems, this book explores fundamental concepts and various design choices critical to these technologies. It offers a thorough survey of both research and commercial systems, supported by around 200 bibliographic references, including survey papers and recent works. Additionally, it features a detailed case study on MUSE, an image retrieval system developed at Florida Atlantic University, providing practical insights into system development and implementation.