Video Search and Mining

  • Dan Schonfeld
  • Caifeng Shan
  • Dacheng Tao
  • Liang Wang

Part of the Studies in Computational Intelligence book series (SCI, volume 287)

Table of contents

  1. Front Matter
  2. Motion Trajectory Analysis

    1. Front Matter
      Pages 1-1
    2. Mattia Broilo, Nicola Piotto, Giulia Boato, Nicola Conci, Francesco G. B. De Natale
      Pages 3-32
    3. Xiang Ma, Xu Chen, Ashfaq Khokhar, Dan Schonfeld
      Pages 53-82
  3. High-Dimensional Video Representation

    1. Front Matter
      Pages 83-83
    2. Pavan Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa
      Pages 115-144
  4. Semantic Video Analysis

    1. Front Matter
      Pages 145-145
    2. Massimiliano Albanese, Pavan Turaga, Rama Chellappa, Andrea Pugliese, V. S. Subrahmanian
      Pages 147-176
    3. Ping-Hao Wu, Sanjay Purushotham, C. -C. Jay Kuo
      Pages 177-201
    4. Adrian Ulges, Damian Borth, Thomas M. Breuel
      Pages 203-232
  5. Personalized Video

    1. Front Matter
      Pages 233-233
    2. Caifeng Shan
      Pages 235-260
  6. Video Mining

    1. Front Matter
      Pages 283-283
    2. Xianfeng Yang, Qi Tian
      Pages 305-326
    3. Ina Döhring, Rainer Lienhart
      Pages 327-356
    4. Nicholas Morsillo, Gideon Mann, Christopher Pal
      Pages 357-386
  7. Back Matter

About this book


This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e.g. text), video mining is still in its infancy.The objective of this book is to present the latest advances in video search and mining covering both theoretical approaches and practical applications. The book provides researchers and practitioners a comprehensive understanding of the start-of-the-art in video search and mining techniques and a resource for potential applications and successful practice. This book can also serve as an important reference tool and handbook for researchers and practitioners in video search and mining.


Video Retrieval calculus classification clustering cognition computational intelligence computer vision data mining image analysis information extraction intelligence learning statistical analysis video mining

Editors and affiliations

  • Dan Schonfeld
    • 1
  • Caifeng Shan
    • 2
  • Dacheng Tao
    • 3
  • Liang Wang
    • 4
  1. 1.Multimedia Communications Laboratory Department of Electrical & Computer EngineeringUniversity of Illinois at ChicagoChicagoUSA
  2. 2.Philips ResearchEindhovenThe Netherlands
  3. 3.Department of ComputingHong Kong Polytechnic UniversityKowloon,Hong KongChina
  4. 4.Department of Computer ScienceUniversity of BathUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-12899-8
  • Online ISBN 978-3-642-12900-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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