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

Feng Wu

ISBN 10: 1482234130 / ISBN 13: 9781482234138

Published by Auerbach Publications, 2014

About this Item

Advances in Visual Data Compression and Communication | Meeting the Requirements of New Applications | Feng Wu | Buch | Einband - fest (Hardcover) | Englisch | 2014 | Auerbach Publications | EAN 9781482234138 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 133017075

Bibliographic Details

• Title: Advances in Visual Data Compression and Communication | Meeting the Requirements of New Applications
• Publisher: Auerbach Publications
• Publication Date: 2014
• Language: English
• ISBN 10: 1482234130
• ISBN 13: 9781482234138
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 32D millimeters 240 millimeters width by 161 millimeters height by 32 millimeters depth
• Weight: 933 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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 pseudo-analog transmission, and supporting MIMO. It concludes by considering emerging developments of information theory for future applications.

About the Author

Researchers and engineers involved with visual data compression and communication.