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  • 1
    Book
    Book
    Berlin ; Heidelberg : Springer-Verlag GmbH
    UID:
    b3kat_BV005485677
    Format: XIV, 243 Seiten , Illustrationen, Diagramme
    ISBN: 3540532927 , 0387532927 , 9783642635052 , 9783642582165
    Series Statement: Springer series in information sciences 23
    Note: Hier auch später erschienene, unveränderte Nachdrucke , Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Bildrekonstruktion ; Bildverarbeitung ; Bildverarbeitung ; Bilderkennung ; Signalverarbeitung ; Information Retrieval ; Wiederherstellung ; Aufsatzsammlung
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  • 2
    UID:
    b3kat_BV046429185
    Format: xxi, 574 Seiten , Illustrationen, Diagramme
    Edition: Second edition
    ISBN: 9781108480727
    Language: English
    Subjects: Computer Science , Psychology
    RVK:
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Kognitionswissenschaft ; Mensch-Maschine-Kommunikation
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  • 3
    UID:
    b3kat_BV011647887
    Format: XX, 288 S.: Ill., graph. Darst.
    ISBN: 0792398505
    Content: The book contains a review chapter on video compression, a background chapter on optimal bit allocation and the necessary mathematical tools, such as the Lagrangian multiplier method and Dynamic Programming. These two introductory chapters make the book self-contained and a fast way of entering this exciting field
    Content: Rate-Distortion Based Video Compression establishes a general theory for the optimal bit allocation among dependent quantizers. The minimum total (average) distortion and the minimum maximum distortion cases are discussed. This theory is then used to design efficient motion estimation schemes, video compression schemes and object boundary encoding schemes. For the motion estimation schemes, the theory is used to optimally trade the reduction of energy in the displaced frame difference (DFD) for the increase in the rate required to encode the displacement vector field (DVF). These optimal motion estimators are then used to formulate video compression schemes which achieve an optimal distribution of the available bit rate among DVF, DFD and segmentation. This optimal bit allocation results in very efficient video coders
    Content: In the last part of the book, the proposed theory is applied to the optimal encoding of object boundaries, where the bit rate needed to encode a given boundary is traded for the resulting geometrical distortion. Again, the resulting boundary encoding schemes are very efficient
    Language: English
    Keywords: Informationstheorie ; Datenverarbeitung ; Bildsignal
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  • 4
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_182390033X
    Format: 1 Online-Ressource(CXL, 12 p.)
    Edition: 1st ed. 2007.
    ISBN: 9783031022449
    Series Statement: Synthesis Lectures on Image, Video, and Multimedia Processing
    Content: Contents: Introduction -- Elements of a Video Communication System -- Joint Source-Channel Coding -- Error-Resilient Video Coding -- Channel Modeling and Channel Coding -- Internet Video Transmission -- Wireless Video Transmission -- Conclusions.
    Content: This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission. Real-time video communication applications, such as videoconferencing, video telephony, and on-demand video streaming, have gained increased popularity. However, a key problem in video transmission over the existing Internet and wireless networks is the incompatibility between the nature of the network conditions and the QoS requirements (in terms, for example, of bandwidth, delay, and packet loss) of real-time video applications. To deal with this incompatibility, a natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware cross-layer resource allocation, thus increasing the communication efficiency of multiple network layers. Our purpose in this book is to review the basic elements of the state-of-the-art approaches toward joint source-channel video transmission for wired and wireless systems. In this book, we present a general resource-distortion optimization framework, which is used throughout the book to guide our discussions on various techniques of joint source-channel video transmission. In this framework, network resources from multiple layers are assigned to each video packet according to its level of importance. It provides not only an optimization benchmark against which the performance of other sub-optimal systems can be evaluated, but also a useful tool for assessing the effectiveness of different error control components in practical system design. This book is therefore written to be accessible to researchers, expert industrial R&D engineers, and university students who are interested in the cutting edge technologies in joint source-channel video transmission. Contents: Introduction / Elements of a Video Communication System / Joint Source-Channel Coding / Error-Resilient Video Coding / Channel Modeling and Channel Coding / Internet Video Transmission / Wireless Video Transmission / Conclusions.
    Additional Edition: ISBN 9783031011160
    Additional Edition: ISBN 9783031033728
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031011160
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031033728
    Language: English
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  • 5
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1823900348
    Format: 1 Online-Ressource(XVI, 134 p.)
    Edition: 1st ed. 2007.
    ISBN: 9783031022432
    Series Statement: Synthesis Lectures on Image, Video, and Multimedia Processing
    Content: Introduction -- Bayesian Formulation of Super-Resolution Image Reconstruction -- Low-Resolution Image Formation Models -- Motion Estimation in Super Resolution -- Estimation of High-Resolution Images -- Bayesian Inference Models in Super Resolution -- Super Resolution for Compression.
    Content: This book focuses on the super resolution of images and video. The authors’ use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards.
    Additional Edition: ISBN 9783031011153
    Additional Edition: ISBN 9783031033711
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031011153
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031033711
    Language: English
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  • 6
    UID:
    gbv_723616795
    Format: 1 Online-Ressource (150 Seiten)
    Edition: Electronic reproduction; Available via World Wide Web
    ISBN: 1598290851 , 9781598290851
    Series Statement: Synthesis Lectures on Image, Video, and Multimedia Processing #7
    Content: This book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards
    Content: Introduction -- Bayesian formulation of super-resolution imagereconstruction -- Low-resolution image formation models -- Motionestimation in superresolution -- Estimation of high-resolution images -- Bayesian inference models in super resolution -- Super resolution for compression -- Epilogue -- Bibliography -- Index -- Author biography
    Note: Description based upon print version of record , Introduction; What is super resolution of images and video?; Why and when is super resolution possible?; Applications; Book outline; Bayesian Formulation of Super-Resolution Image Reconstruction; Notation; Bayesian modeling; Bayesian inference; Hierarchical Bayesian Modeling and Inference; Low-Resolution Image Formation Models; Image Formation Models for Uncompressed Observations; The Warp--Blur Model; The Blur--Warp Model; Image Formation Models for Compressed Observations; Limits on super resolution; Motion Estimation in Super Resolution; Motion Estimation from Uncompressed Observations , Motion Estimation from Compressed ObservationsHow to Detect Unreliable Motion Estimates; Consistency of Motion Estimates for super resolution ; Some Open Issues in Motion Estimation for super resolution; Estimation of High-Resolution Images; High-resolution image estimation from uncompressed sequences; High-Resolution image estimation from compressed sequences; Some open issues in image estimation for super resolution; Bayesian Inference Models in Super Resolution; Hierarchical Bayesian Framework for Super Resolution; Inference models for super-resolution reconstruction problems , Some Open Issues in super resolution Bayesian InferencePre- and Post-Processing of Video Sequences; Including super resolution into the Compression Scheme; Region-Based Super Resolution for Compression; Motion and texture segmentation; Downsampling process; Upsampling procedure , Electronic reproduction; Available via World Wide Web , Mode of access: World Wide Web. , System requirements: PDF reader.
    Additional Edition: ISBN 1598290843
    Additional Edition: ISBN 9781598290844
    Additional Edition: Print version Super Resolution of Images and Video
    Language: English
    Keywords: Electronic books
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  • 7
    UID:
    b3kat_BV043665743
    Format: xiii, 286 Seiten , Illustrationen, Diagramme
    ISBN: 9781107123526
    Note: Literaturverzeichnis: Seite 280-284
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Kognitionswissenschaft ; Mensch-Maschine-Kommunikation
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV048604455
    Format: 1 Online-Ressource (XI, 196 p. 122 illus., 89 illus. in color)
    Edition: 1st ed. 2022
    ISBN: 9783031195020
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-19501-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-19503-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 9
    UID:
    gbv_1750531208
    Format: 1 Online-Ressource (1 online resource)
    Edition: Second Edition
    ISBN: 9781108690935 , 1108690939
    Content: "The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"--
    Note: First edition published 2016 , Includes bibliographical references and index
    Additional Edition: ISBN 9781108480727
    Additional Edition: Erscheint auch als Druck-Ausgabe Watt, Jeremy Machine learning refined New York : Cambridge University Press, 2020
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    [San Rafael] : Morgan & Claypool Publishers
    UID:
    gbv_728921731
    Format: 1 Online-Ressource (xii, 136 Seiten)
    Edition: 1st ed
    ISBN: 1598290452 , 9781598290455
    Series Statement: Synthesis lectures on image, video, and multimedia processing #10
    Content: This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission. Real-time video communication applications, such as videoconferencing, video telephony, and on-demand video streaming, have gained increased popularity. However, a key problem in video transmission over the existing Internet and wireless networks is the incompatibility between the nature of the network conditions and the QoS requirements (in terms, for example, of bandwidth, delay, and packet loss) of real-time video applications. To deal with this incompatibility, a natural approach is to adapt the end-system to the network. The joint source-channel coding approach aims to efficiently perform content-aware cross-layer resource allocation, thus increasing the communication efficiency of multiple network layers. Our purpose in this book is to review the basic elements of the state-of-the-art approaches toward joint source-channel video transmission for wired and wireless systems. In this book, we present a general resource-distortion optimization framework, which is used throughout the book to guide our discussions on various techniques of joint source-channel video transmission. In this framework, network resources from multiple layers are assigned to each video packet according to its level of importance. It provides not only an optimization benchmark against which the performance of other sub-optimal systems can be evaluated, but also a useful tool for assessing the effectiveness of different error control components in practical system design. This book is therefore written to be accessible to researchers, expert industrial R engineers, and university students who are interested in the cutting edge technologies in joint source-channel video transmission
    Content: Introduction -- Elements of a video communication system -- Joint source-channel coding -- Error-resilient video coding -- Channel modeling and channel coding -- Internet video transmission -- Wireless video transmission -- Conclusions
    Note: Abstract freely available; full-text restricted to subscribers or individual document purchasers -- Available to subscribers only , Includes bibliographical references (p. 121-133) and index , Part of: Synthesis digital library of engineering and computer science , Introduction -- Elements of a video communication system -- Joint source-channel coding -- Error-resilient video coding -- Channel modeling and channel coding -- Internet video transmission -- Wireless video transmission -- Conclusions. , System requirements: PDF reader. , Mode of access: World Wide Web.
    Additional Edition: ISBN 1598290452
    Additional Edition: ISBN 9781598290455
    Additional Edition: Print version Joint Source-Channel Video Transmission
    Language: English
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