Content-Based Image and Video Retrieval

Oge Marques

ISBN 10: 1402070047 / ISBN 13: 9781402070044

Editore: Springer New York, Springer US Apr 2002, 2002

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch.

Codice articolo 9781402070044

Dati bibliografici

• Titolo: Content-Based Image and Video Retrieval
• Editore: Springer New York, Springer US Apr 2002
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 1402070047
• ISBN 13: 9781402070044
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

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.

Contenuti

Preface. Acknowledgments. 1. Introduction. 2. Fundamentals of content-based image and video retrieval. 3. Designing a content-based image retrieval system. 4. Designing a content-based video retrieval system. 5. A survey of content-based image retrieval systems; R.C. Veltkamp, M. Tanase. 6. Case study: MUSE. References. Index.