@book {12621,
	title = {Unconstrained face recognition},
	year = {2006},
	month = {2006///},
	publisher = {Springer Science \& Business},
	organization = {Springer Science \& Business},
	abstract = {Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.},
	keywords = {Computer science, Computer vision, Computers / Computer Graphics, Computers / Computer Science, Computers / Computer Vision \& Pattern Recognition, Computers / General, Computers / Image Processing, Computers / Information Technology, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Security / Cryptography, Computers / User Interfaces, Data encryption (Computer science), Data structures (Computer science), Electronic books, Human face recognition (Computer science), IMAGE PROCESSING, Image processing - Digital techniques, multimedia systems, Optical pattern recognition, Science / Life Sciences / Biology},
	isbn = {9780387264073},
	author = {Zhou,S. Kevin and Chellapa, Rama and Zhao,Wenyi}
}
@book {18249,
	title = {Multimedia Data Hiding},
	year = {2003},
	month = {2003///},
	publisher = {Springer},
	organization = {Springer},
	abstract = {With the advances of the digital information revolution and the societal changes they have prompted, it has become critical to facilitate 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. Multimedia Data Hiding addresses the theory, methods, and design of multimedia data hiding and its application to multimedia rights management, information security, and communication. It offers theoretical and practical aspects, and both design and attack problems. Applications discussed include: annotation, tamper detection, copy/access control, fingerprinting, and ownership protection. Countermeasures for attacks on data hiding are discussed, and a chapter assesses attack problems on digital music protection under a unique competitive environment. Topics and features: * Comprehensive and practical coverage of data hiding for various media types, including binary image, grayscale and color images and video, and audio * Provides unique analysis of problems and solutions, such as data hiding in binary signature and generic binary documents, block concealment attacks, and attacks on audio watermarking * Authoritative discussion and analysis of data hiding and effective countermeasures, supported by concrete application examples * Accessible, well-organized progression from the fundamentals to specific approaches to various data-hiding problems This work offers a state-of-the-art presentation covering theoretical, algorithmic, and design topics for digital content/data security protection, and rights management. It is an essential resource for multimedia security researchers and professionals in electrical engineering, computer science, IT, and digital rights management.},
	keywords = {computer security, Computers / Computer Engineering, Computers / Computer Science, Computers / Database Management / General, Computers / Information Technology, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Networking / General, Computers / Security / Cryptography, Computers / Security / General, Computers / System Administration / Storage \& Retrieval, Data encryption (Computer science), multimedia systems, Technology \& Engineering / Electrical, Technology \& Engineering / Engineering (General)},
	isbn = {9780387954264},
	author = {M. Wu and Liu,Bede}
}
@book {13691,
	title = {Video Mining},
	year = {2003},
	month = {2003/08/31/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Video Mining is an essential reference for the practitioners and academicians in the fields of multimedia search engines.Half a terabyte or 9,000 hours of motion pictures are produced around the world every year. Furthermore, 3,000 television stations broadcasting for twenty-four hours a day produce eight million hours per year, amounting to 24,000 terabytes of data. Although some of the data is labeled at the time of production, an enormous portion remains unindexed. For practical access to such huge amounts of data, there is a great need to develop efficient tools for browsing and retrieving content of interest, so that producers and end users can quickly locate specific video sequences in this ocean of audio-visual data.Video Mining is important because it describes the main techniques being developed by the major players in industry and academic research to address this problem. It is the first time research from these leaders in the field developing the next-generation multimedia search engines is being described in great detail and gathered into a single volume.Video Mining will give valuable insights to all researchers and non-specialists who want to understand the principles applied by the multimedia search engines that are about to be deployed on the Internet, in studios{\textquoteright} multimedia asset management systems, and in video-on-demand systems.},
	keywords = {Computers / Client-Server Computing, Computers / Computer Science, Computers / Database Management / Data Mining, Computers / Database Management / General, Computers / Information Technology, Computers / Information Theory, Computers / Intelligence (AI) \& Semantics, Computers / Interactive \& Multimedia, Computers / Networking / General, Computers / Security / Cryptography, data mining, Data mining/ Congresses, Mathematics / General, Medical / General, multimedia systems, Multimedia systems/ Congresses, Technology \& Engineering / Electrical, Technology \& Engineering / Telecommunications},
	isbn = {9781402075490},
	author = {Rosenfeld,Azriel and David Doermann and DeMenthon,Daniel}
}
