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© 2007

Multimedia Data Mining and Knowledge Discovery

  • Valery A. Petrushin
  • Latifur Khan
Book

Table of contents

  1. Front Matter
    Pages I-XV
  2. Introduction

    1. Front Matter
      Pages I-XV
    2. Nilesh Patel, Ishwar Sethi
      Pages 14-41
  3. Multimedia Data Exploration and Visualization

    1. Front Matter
      Pages I-XV
    2. Lei Wang, Latifur Khan
      Pages 41-57
    3. Jessica Lin, Michail Vlachos, Eamonn Keogh, Dimitrios Gunopulos
      Pages 58-79
    4. Stefan Brecheisen, Hans-Peter Kriegel, Peer Krőger, Martin Pfeifle, Matthias Schubert, Arthur Zimek
      Pages 94-115
    5. Chuanjun Li, Latifur Khan, Balakrishnan Prabhakaran
      Pages 116-137
  4. Multimedia Data Indexing and Retrieval

    1. Front Matter
      Pages I-XV
    2. Ruofei Zhang, Zhongfei (Mark) Zhang
      Pages 141-167
    3. Marinette Bouet, Marie-Aude Aufaure
      Pages 168-184
    4. Menno Israël, Egon L. van den Broek, Peter van der Putten, Marten J. den Uyl
      Pages 185-206
  5. Multimedia Data Modeling and Evaluation

    1. Front Matter
      Pages I-XV
    2. James M. Kang, Muhammad Aurangzeb Ahmad, Ankur Teredesai, Roger Gaborski
      Pages 209-233
    3. Min Chen, Shu-Ching Chen, Mei-Ling Shyu, Chengcui Zhang
      Pages 234-258
    4. K. Selçuk Candan, Jong Wook Kim, Huan Liu, Reshma Suvarna, Nitin Agarwal
      Pages 259-290
    5. Xin Li, William Grosky, Nilesh Patel, Farshad Fotouhi
      Pages 307-324

About this book

Introduction

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.

Keywords

Mapping Performance data analysis modeling multimedia reflection tools visualization

Editors and affiliations

  • Valery A. Petrushin
    • 1
  • Latifur Khan
    • 2
  1. 1.Accenture Technology LabsAccenture LtdChicagoUSA
  2. 2.School of Forest Resources and ConservationUniversity of FloridaRichardsonUSA

Bibliographic information

Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Engineering
Finance, Business & Banking
Electronics

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)