Multimedia Data Mining and Knowledge Discovery

Editors: Petrushin, Valery A., Khan, Latifur (Eds.)

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About this book

Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications.

Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial 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.

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)


Table of contents (2 chapters)

  • Introduction into Multimedia Data Mining and Knowledge Discovery

    Valery A. Petrushin

    Pages 3-13

  • Mining Rare and Frequent Events in Multi-camera Surveillance Video

    Valery A. Petrushin

    Pages 80-93

Buy this book

eBook $139.00
price for USA
  • ISBN 978-1-84628-799-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-84628-436-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-4471-6013-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Multimedia Data Mining and Knowledge Discovery
Editors
  • Valery A. Petrushin
  • Latifur Khan
Copyright
2007
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-799-2
DOI
10.1007/978-1-84628-799-2
Hardcover ISBN
978-1-84628-436-6
Softcover ISBN
978-1-4471-6013-7
Edition Number
1
Number of Pages
XXV, 521
Topics