Multimedia Data Mining and Analytics

Disruptive Innovation

Editors: Baughman, A., Gao, J., Pan, J.-Y., Petrushin, V.A. (Eds.)

  • Presents cutting-edge multimedia data mining research, including mobile multimedia
  • Provides novel insights into the progression of the field, following the theme of disruptive innovation
  • Bridges complex research and practice by exploring open source software, libraries and algorithms
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eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-319-14998-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-319-14997-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 18, 2016
  • ISBN 978-3-319-34721-9
  • Free shipping for individuals worldwide
About this book

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.

About the authors

Aaron K. Baughman is a member of the Special Events Group at IBM (USA) for World Wide Sports. Previously, he was Technical Lead on a DeepQA Embed Research project that included an instance of the Jeopardy! Challenge.

Jiang (John) Gao is a Principal Scientist in the Advanced Development and Technology Group at Nokia USA, working on multimedia and mobile applications, data mining and computer vision.

Jia-Yu Pan is a software engineer at Google (USA), working on data mining and anomaly detection in big data.

Valery A. Petrushin is a Principal Scientist in the Research and Development Group at Opera Solutions (USA). His previous publications include the successful Springer title Multimedia Data Mining and Knowledge Discovery.

Reviews

“Multimedia data mining and analytics: disruptive innovation highlights new applications in multimedia data mining, presenting fascinating techniques together with comprehensive cases in practice. … this book is valuable for the insight it provides related to the challenges faced by fast developing technologies, their current needs and future promise. It is a practical guide, a useful handbook for academies and industry practitioners who have interest in multimedia data analysis.” (Shanshan Qi, Information Technology & Tourism, Vol. 16, 2016)


Table of contents (19 chapters)

  • Disruptive Innovation: Large Scale Multimedia Data Mining

    Baughman, Aaron K. (et al.)

    Pages 3-28

  • Sentiment Analysis Using Social Multimedia

    Yuan, Jianbo (et al.)

    Pages 31-59

  • Twitter as a Personalizable Information Service

    Cataldi, Mario (et al.)

    Pages 61-91

  • Mining Popular Routes from Social Media

    Wei, Ling-Yin (et al.)

    Pages 93-116

  • Social Interactions over Location-Aware Multimedia Systems

    Yu, Yi (et al.)

    Pages 117-146

Buy this book

eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-319-14998-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-319-14997-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 18, 2016
  • ISBN 978-3-319-34721-9
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Multimedia Data Mining and Analytics
Book Subtitle
Disruptive Innovation
Editors
  • Aaron Baughman
  • Jiang Gao
  • Jia-Yu Pan
  • Valery A. Petrushin
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-14998-1
DOI
10.1007/978-3-319-14998-1
Hardcover ISBN
978-3-319-14997-4
Softcover ISBN
978-3-319-34721-9
Edition Number
1
Number of Pages
XIV, 454
Number of Illustrations
35 b/w illustrations, 153 illustrations in colour
Topics