Video Segmentation and Its Applications
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 theoretic
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King Ngi Ngan
•
Hongliang Li
Editors
Video Segmentation and Its Applications
ABC
Editors King Ngi Ngan Department of Electronic Engineering The Chinese University of Hong Kong Shatin, New Territories Hong Kong SAR China, People’s Republic [email protected]
Hongliang Li School of Electronic Engineering University of Electronic Science and Technology of China Chengdu China, People’s Republic [email protected]
ISBN 978-1-4419-9481-3 e-ISBN 978-1-4419-9482-0 DOI 10.1007/978-1-4419-9482-0 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2011925545 c Springer Science+Business Media, LLC 2011 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Video segmentation has been a key technique for visual information extraction and plays an important role in digital video processing, pattern recognition, and computer vision. A wide range of video-based applications will benefit from advances in video segmentation including security and surveillance, bank transactions monitoring, video conferencing, and personal entertainment. In the last four decades, this field has experienced significant growth and progress, resulting in a virtual explosion of published information. The field of image and video segmentation is still a very hot topic, with much advancement in recent years. As a consequence, there is a considerable need for books like this one, which attempts to bring together a selection of the latest results from researchers involved in state-of-the-art work in video segmentation and its applications. The objective of this book is to present the latest advances in video segmentation and analysis techniques covering both theoretical approaches and real applications. This book provides an overview of emerging new approaches to video segmentation and promising methods being developed in the computer vision and video analysis community. It not only deals with the theoretical foundations and algorithms for image/video segmentation, which includes how to extract video features, and how to segment semantic video objects, this book also provides a comprehensive description of practical applications which I believe fills a hole in the video segmentation market. This book is expected to provide researchers and practiti
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