Advances in Visual Data Compression and Communication

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.

Table of Contents

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