Advances in Visual Data Compression and Communication : Meeting the Requirements of New Applications.

Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wu, Feng
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Philadelphia, PA Auerbach Publications, 2014.
Edición:1st ed.
Colección:Multimedia Computing, Communication and Intelligence Ser.
Temas:
Image compression.
Compression d'images.
Image compression
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Advances in Visual Data Compression and Communication :  |b Meeting the Requirements of New Applications. 
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505 0 |a Front Cover -- Dedication -- Contents -- Preface -- Acknowledgments -- Acronyms -- Part I -- Basis for Compression and Communication -- Chapter 1 -- Information Theory -- Chapter 2 -- Hybrid Video Coding -- Chapter 3 -- Communication -- Part II -- Scalable Video Coding -- Chapter 4 -- Progressive Fine Granularity Scalable (PFGS) Coding -- Chapter 5 -- Motion Threading for 3D Wavelet Coding -- Chapter 6 -- Barbell-Lifting Based 3D Wavelet Coding -- Part III -- Directional Transforms -- Chapter 7 -- Directional Wavelet Transform -- Chapter 8 -- Directional DCT Transform -- Chapter 9 -- Directional Filtering Transform -- Part IV -- Vision-Based Compression -- Chapter 10 -- Edge-Based Inpainting -- Chapter 11 -- Cloud-Based Image Compression -- Chapter 12 -- Compression for Cloud Photo Storage -- Part V -- Compressive Communication -- Chapter 13 -- Compressive Data Gathering -- Chapter 14 -- Compressive Modulation -- Chapter 15 -- Joint Source and Channel Coding -- Part VI -- Pseudo-Analog Transmission -- Chapter 16 -- DCast: Distributed Video Multicast -- Chapter 17 -- Denoising in Communications -- Chapter 18 -- MIMO Broadcasting with Receiver Antenna Heterogeneity -- Part VII -- Future Work -- Chapter 19 -- Computational Information Theory -- Appendix A -- Our Published Journal and Conference Papers Related to This Book -- References -- Back Cover. 
520 |a Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication channels that offer increased bandwidth. Presenting the results of the author's years of research on visual data compression and transmission, Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications provides a theoretical and technical basis for advanced research on visual data compression and communication. The book studies the drifting problem in scalable video coding, analyzes the reasons causing the problem, and proposes various solutions to the problem. It explores the author's Barbell-based lifting coding scheme that has been adopted as common software by MPEG. It also proposes a unified framework for deriving a directional transform from the nondirectional counterpart. The structure of the framework and the statistic distribution of coefficients are similar to those of the nondirectional transforms, which facilitates subsequent entropy coding. Exploring the visual correlation that exists in media, the text extends the current coding framework from different aspects, including advanced image synthesis-from description and reconstruction to organizing correlated images as a pseudo sequence. It explains how to apply compressive sensing to solve the data compression problem during transmission and covers novel research on compressive sensor data gathering, random projection codes, and compressive modulation. For analog and digital transmission technologies, the book develops the pseudo-analog transmission for media and explores cutting-edge research on distributed pseudo-analog transmission, denoising in. 
520 8 |a Pseudo-analog transmission, and supporting MIMO. It concludes by considering emerging developments of information theory for future applications. 
588 |a Description based on publisher supplied metadata and other sources. 
504 |a Includes bibliographical references and index. 
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650 0 |a Image compression. 
650 6 |a Compression d'images. 
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830 0 |a Multimedia Computing, Communication and Intelligence Ser. 
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