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Multimedia Database Retrieval

Technology and Applications

  • Book
  • © 2014

Overview

Authors:
  1. Paisarn Muneesawang

    1. Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand

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  2. Ning Zhang

    1. Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada

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    You can also search for this author in PubMed   Google Scholar

  3. Ling Guan

    1. Electrical and Computer Engineering, Ryerson University, Toronto, Canada

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    You can also search for this author in PubMed   Google Scholar

  • Reinforces basic principles for the development of tools and systems in the field
  • Offers an application-oriented view of multimedia technology with a balanced perspective on multimedia processing
  • Reviews the key recent research in all aspects of multimedia including metadata, image, video, and audio
  • Includes supplementary material: sn.pub/extras

Part of the book series: Multimedia Systems and Applications (MMSA)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 1-15

  3. Kernel-Based Adaptive Image Retrieval Methods

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 17-58

  4. Self-adaptation in Image and Video Retrieval

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 59-99

  5. Interactive Mobile Visual Search and Recommendation at Internet Scale

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 101-130

  6. Mobile Landmark Recognition

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 131-145

  7. Image Retrieval from a Forensic Cartridge Case Database

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 147-167

  8. Indexing, Object Segmentation, and Event Detection in News and Sports Videos

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 169-211

  9. Adaptive Retrieval in a P2P Cloud Datacenter

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 213-246

  10. Scalable Video Genre Classification and Event Detection

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 247-278

  11. Audio-Visual Fusion for Film Database Retrieval and Classification

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 279-303

  12. Motion Database Retrieval with Application to Gesture Recognition in a Virtual Reality Dance Training System

    • Paisarn Muneesawang, Ning Zhang, Ling Guan
    Pages 305-333

  13. Back Matter

    Pages 335-350
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Keywords

About this book

This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use ofmultimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.

Authors and Affiliations

  • Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand

    Paisarn Muneesawang

  • Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada

    Ning Zhang

  • Electrical and Computer Engineering, Ryerson University, Toronto, Canada

    Ling Guan

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