© 2011

Video Segmentation and Its Applications

  • King Ngi Ngan
  • Hongliang Li

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jar-Ferr Yang, Shu-Sheng Hao
    Pages 25-57
  3. Xiaogang Wang
    Pages 59-85
  4. Wen Gao, Yonghong Tian, Lingyu Duan, Jia Li, Yuanning Li
    Pages 87-116
  5. King Ngi Ngan, Qian Zhang
    Pages 117-143
  6. E. Izquierdo, K. Vaiapury
    Pages 145-157
  7. Back Matter
    Pages 159-163

About this book


Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its Applications is to present the latest advances in video segmentation and analysis techniques while covering the theoretical approaches, real applications and methods being developed in the computer vision and video analysis community. The book will also provide researchers and practitioners a comprehensive understanding of state-of-the-art of video segmentation techniques and a resource for potential applications and successful practice.


Boundary refinement Hongliang Li King Ngi Ngan Matting model Object extraction Semantic object segmentation Soft segmentation Video segmentation

Editors and affiliations

  • King Ngi Ngan
    • 1
  • Hongliang Li
    • 2
  1. 1., Department of Electronic EngineeringThe Chinese University of Hong KongHong Kong SARChina, People's Republic
  2. 2.Technology of China, School of Electronic EngineeringUniversity of Electronic Science &ChengduChina, People's Republic

About the editors

The principal editor has more than 20 years of research experience in multimedia signal processing area. He is a world recognized expert in the field of visual signal processing and communications especially in image/video segmentation. He chaired a number of prestigious international conferences on video signal processing and communications and served on the advisory and technical committees of numerous professional organizations. He has published extensively including 3 authored books, and over 200 refereed technical papers in the areas of visual signal processing, image/video coding and multimedia communications and holds 4 patents on video coding technology.

Bibliographic information

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