Overview
Presents the most up-to-date overview of state of the art in multimedia data mining and knowledge discovery
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Table of contents (25 chapters)
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Front Matter
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Introduction
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Front Matter
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Multimedia Data Exploration and Visualization
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Front Matter
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Multimedia Data Indexing and Retrieval
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Front Matter
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Multimedia Data Modeling and Evaluation
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Front Matter
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Keywords
About this book
This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research.
Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.
Written with graduates in mind, this much needed comprehensive reflection of the current state of multimedia data mining and knowledge discovery will also be a valuable resource for researchers in the field.
This book provides an overview of the current state of the art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research.
Topics and Features: - Features a comprehensive introduction to multimedia data mining and its relevance today; - presents a global perspective of the field and its various components; - provides broad, yet thorough and detailed coverage of the subject; - numerous chapters reference websites with supplementary materials and demonstrations; - explores multimedia data exploration, multimedia data modeling and evaluation, and visualization; - offers an entire part devoted to applications and case studies.
Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.
Reviews
From the reviews:
"The editors make a cogent argument in their preface as to the critical need for books such as this; namely, with the ever-decreasing costs and inversely proportional increasing size of storage and memory chips, massive multimedia (and speech) collections are no longer the sole domain of professional studios… This book brings to light the great variety of technologies and applications for multimedia data mining and is sure to be of interest to academic researchers and industrial practitioners alike." (Michael Goldberg, ACM Computing Reviews, Vol. 49 (11), November 2008)
"The book … cover the broad area of multimedia data mining and knowledge discovery. It consists of five parts in 25 chapters. In each chapter, leading researchers from academia or industry report their research work on selected topics, which are extended from papers presented at the Multimedia Data Mining Workshops in 2003 and 2004. … the book is suitable for scientists, engineers, and senior graduate students who work in related fields." (Jie Yu, Journal of Electronic Imaging, Vol. 17 (4), October-December, 2008)
Editors and Affiliations
Bibliographic Information
Book Title: Multimedia Data Mining and Knowledge Discovery
Editors: Valery A. Petrushin, Latifur Khan
DOI: https://doi.org/10.1007/978-1-84628-799-2
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2007
Hardcover ISBN: 978-1-84628-436-6Published: 29 December 2006
Softcover ISBN: 978-1-4471-6013-7Published: 26 November 2014
eBook ISBN: 978-1-84628-799-2Published: 20 October 2007
Edition Number: 1
Number of Pages: XXV, 521
Topics: Computer Applications, Database Management, Multimedia Information Systems, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Data Storage Representation
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