Titlebook: Content-Based Image and Video Retrieval; Oge Marques,Borko Furht Book 2002 Springer Science+Business Media New York 2002 Audio.Textur.comp

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Introduction,The amount of audiovisual information available in digital format has grown exponentially in recent years. Gigabytes of new images, audio and video clips are generated and stored everyday, helping to build up a huge, distributed, mostly unstructured repository of multimedia information, much of which can be accessed through the Internet.

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Fundamentals of Content-Based Image and Video Retrieval,This chapter contains basic information on Visual Information Retrieval (VIR) systems, particularly the ones whose primary emphasis is on searching for visual information (images or video clips). based on their contents, which will henceforth be referred to as Content-Based Image and Video Retrieval (CBIVR) systems.

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Designing a Content-Based Image Retrieval System,This chapter provides a deeper foundation on the key components of a Content-Based Image Retrieval (CBIR) system and presents selected design questions faced by anyone who wishes to implement their own CBIR system.

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A Survey of Content-Based Image Retrieval Systems,In this chapter we survey some technical aspects of current content-based image retrieval systems.

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Case Study: MUSE,s developed by the authors over the past two years. MUSE is an ongoing project within the Department of Computer Science and Engineering at Florida Atlantic University. The ultimate goal of this project is to build an intelligent system for searching and retrieving visual information in large repositories..

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Case Study: MUSE,s developed by the authors over the past two years. MUSE is an ongoing project within the Department of Computer Science and Engineering at Florida Atlantic University. The ultimate goal of this project is to build an intelligent system for searching and retrieving visual information in large reposi

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Book 2002om 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..