Video Segmentation and Its Applications
Published on 18. May 2011
Book
Hardback
XIV, 163 pages
978-1-4419-9481-3 (ISBN)
Description
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.
More details
Edition
2011 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XIV, 163 p.
Dimensions
Height: 245 mm
Width: 164 mm
Thickness: 18 mm
Weight
401 gr
ISBN-13
978-1-4419-9481-3 (9781441994813)
DOI
10.1007/978-1-4419-9482-0
Schweitzer Classification
Other editions
Additional editions
King Ngi Ngan | Hongliang Li
Video Segmentation and Its Applications
Book
10/2014
Springer
€106.99
Shipment within 15-20 days
King Ngi Ngan | Hongliang Li
Video Segmentation and Its Applications
E-Book
05/2011
1st Edition
Springer
€96.29
Available for download
Persons
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.
Content
Image/Video Segmentation: Current Status, Trends and Challenges.- Image Segmentation with Eigen-subspace Projections.- Semantic Object Segmentation.- Video Scene Analysis: A Machine Learning Perspective.- Multi-view Image Segmentation and Video Tracking.- Applications of Video Segmentation.- Index.