
Multimedia Data Hiding
Published on 26. May 2011
Book
Paperback/Softback
XIX, 219 pages
978-1-4419-2994-5 (ISBN)
Description
The digital information revolution has brought about profound changes in our society and our life. New devices and powerful software have made it possible for consumers worldwide to create, manipulate, share, and enjoy the multimedia information. Internet and wireless networks offer ubiquitous channels to deliver and to exchange multimedia information for such pur poses as remote collaboration, distant learning, and entertainment. With all these advances in multimedia coding and communication technologies over the past decade, the major hurdle for allowing much broader access of multimedia assets and deployment of multimedia services no longer lies with bandwidth-related issues, but with how to make sure that content is used for its intended purpose by its intended recipients. The core issue then be comes the development of secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, access con trol, and annotation. Data hiding can also be used to send side information in multimedia communication for providing additional functionalities or for enhancing performance. The extraction of the embedded data mayor may not need knowledge of the original host media data. In addition to im perceptibility, robustness against moderate processing such as compression is also an important consideration.
More details
Edition
Softcover reprint of hardcover 1st ed. 2003
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
55 s/w Abbildungen
XIX, 219 p. 55 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
371 gr
ISBN-13
978-1-4419-2994-5 (9781441929945)
DOI
10.1007/978-0-387-21754-3
Schweitzer Classification
Other editions
Additional editions

Persons
Min Wu has held a Ph.D. in medical informatics from the University of North Carolina at Chapel Hill since 2003. Now an associate professor in the Zilber College of Public Health at the University of Wisconsin, Milwaukee, his research focuses on identifying unmet public health needs and implementing technological solutions. His writing has appeared in the Journal of Medical Informatics, the Journal of Medical Systems, and Academic Radiology. Dr. Wu is a past recipient of the Best Article Award for his work in the Journal of Digital Imaging. Dr. Wu has taught health informatics graduate courses for over 20 years and gained a deep and broad understanding of biomedical informatics. Recently, Dr. Wu published review articles on "Big data application on biomedical research and health care" and "Wearable technology application in health care" and closely tracks AI's impact on public health issues to prevent disease, promote health and prolong life.
Content
1 Introduction.- 1.1 Overview of Multimedia Data Hiding.- 1.2 Book Organization.- I Fundamental Issues.- 2 Preliminaries.- 3 Basic Embedding Mechanisms.- 4 Handling Uneven Embedding Capacity.- II Algorithm and System Designs.- 5 Data Hiding in Binary Image.- 6 Multilevel Data Hiding for Image and Video.- 7 Data Hiding for Image Authentication.- 8 Data Hiding for Video Communications.- III Attacks and Countermeasures.- 9 Attacks on Known Data Hiding Algorithms.- 10 Attacks on Unknown Data Hiding Algorithms.- 11 Conclusions and Perspectives.- References.- About the Authors.