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Video Search and Mining

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  • © 2010

Overview

Editors:
  1. Dan Schonfeld

    1. Multimedia Communications Laboratory Department of Electrical & Computer Engineering, University of Illinois at Chicago, Chicago, USA

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  2. Caifeng Shan

    1. Philips Research, Eindhoven, The Netherlands

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  3. Dacheng Tao

    1. Department of Computing, Hong Kong Polytechnic University, Kowloon,Hong Kong, China

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  4. Liang Wang

    1. Department of Computer Science, University of Bath, United Kingdom

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  • Presents the state of the art in video mining
  • Written by experts in this field
  • Provides an overview of emerging new approaches

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

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Table of contents (14 chapters)

  1. Back Matter

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Keywords

About this book

As cameras become more pervasive in our daily life, vast amounts of video data are generated. The popularity of YouTube and similar websites such as Tudou and Youku provides strong evidence for the increasing role of video in society. One of the main challenges confronting us in the era of information technology is to - fectively rely on the huge and rapidly growing video data accumulating in large multimedia archives. Innovative video processing and analysis techniques will play an increasingly important role in resolving the difficult task of video search and retrieval. A wide range of video-based applications have benefited from - vances in video search and mining including multimedia information mana- ment, human-computer interaction, security and surveillance, copyright prot- tion, and personal entertainment, to name a few. 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. Many challenging research problems are facing video mining researchers.

Editors and Affiliations

  • Multimedia Communications Laboratory Department of Electrical & Computer Engineering, University of Illinois at Chicago, Chicago, USA

    Dan Schonfeld

  • Philips Research, Eindhoven, The Netherlands

    Caifeng Shan

  • Department of Computing, Hong Kong Polytechnic University, Kowloon,Hong Kong, China

    Dacheng Tao

  • Department of Computer Science, University of Bath, United Kingdom

    Liang Wang

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