Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.
Oge Marques is an Associate Professor and Associate Chairman in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University in Boca Raton, Florida. He received his Ph.D. in Computer Engineering from Florida Atlantic University (FAU) in 2001, his Masters in Electronics Engineering from Eindhoven University of Technology (TU/e) (Eindhoven, NL) in 1989 and his Bachelor's Degree in Electrical Engineering and Licentiateship in Electronics from Universidade Tecnológica Federal do Paraná (UTFPR) (Curitiba, Brazil) in 1987, where he also taught for more than 14 years before moving to the USA.
He has been teaching undergraduate and graduate students for more than 20 years, in different countries (Brazil, Spain, USA, Austria, and India) and languages (English, Portuguese, Spanish). His research experience has been mostly in the fields of image processing and computer vision: he is the (co-) author of four books in these topics, including the recently released textbook "Practical Image and Video Processing Using MATLAB" (Wiley-IEEE Press, 2011).
He is a Senior Member of both the IEEE and the ACM.
