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  • 1
    Book
    Book
    Englewood Cliffs, NJ : Prentice Hall
    Show associated volumes/articles
    In:  Textbook
    Language: English
    Pages: 176 S
    Additional Material: Ill., graph. Darst
    Angaben zur Quelle: Textbook
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  • 2
    Language: English
    Pages: 1 online resource (lvii, 755 p.) , ill.
    Edition: 2nd ed.
    Series Statement: Image processing series
    Parallel Title: Erscheint auch als
    Keywords: Multimedia systems ; Image processing ; Digital techniques ; Electronic books ; Electronic books ; local
    Abstract: As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins with a section on standards, fundamental methods, design issues, and typical architectures. It then focuses on the coding of video and multimedia content before covering multimedia search, retrieval, and management. After examining multimedia security, the book describes multimedia communications and networking and explains the architecture design and implementation for multimedia image and video processing. It concludes with a section on multimedia systems and applications. Written by some of the most prominent experts in the field, this updated edition provides readers with the latest research in multimedia processing and equips them with advanced techniques for the design of multimedia systems.
    Note: Includes bibliographical references. - Description based on print version record
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  • 3
    Online Resource
    Online Resource
    Upper Saddle River, NJ : Prentice Hall Professional Technical Reference | Boston, MA :Safari,
    Language: English
    Pages: xv, 476 p. , ill. ; , 24 cm
    DDC: 621.389/28
    Keywords: Biometric identification ; Identification ; Automation ; Pattern recognition systems ; Electronic books ; local
    Abstract: A breakthrough approach to improving biometrics performance Constructing robust information processing systems for face and voice recognition Supporting high-performance data fusion in multimodal systems Algorithms, implementation techniques, and application examples Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matching Theoretical pillars of machine learning for complex pattern recognition and classification Expectation-maximization (EM) algorithms and support vector machines (SVM) Multi-layer learning models and back-propagation (BP) algorithms Probabilistic decision-based neural networks (PDNNs) for face biometrics Flexible structural frameworks for incorporating machine learning subsystems in biometric applications Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks Multi-cue data fusion techniques that integrate face and voice recognition Application case studies
    Note: Includes bibliographical references (p. 427-456) and index
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