Communicating pictures a course in image and video coding 1st Edition by David Bull 0124059066 9780124059061

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ISBN 10: 0124059066

ISBN 13: 9780124059061

Author: David R Bull

Communicating Pictures starts with a unique historical perspective of the role of images in communications and then builds on this to explain the applications and requirements of a modern video coding system. It draws on the author’s extensive academic and professional experience of signal processing and video coding to deliver a text that is algorithmically rigorous, yet accessible, relevant to modern standards, and practical. It offers a thorough grounding in visual perception, and demonstrates how modern image and video compression methods can be designed in order to meet the rate-quality performance levels demanded by today’s applications, networks and users. With this book you will learn:

• Practical issues when implementing a codec, such as picture boundary extension and complexity reduction, with particular emphasis on efficient algorithms for transforms, motion estimators and error resilience
• Conflicts between conventional video compression, based on variable length coding and spatiotemporal prediction, and the requirements for error resilient transmission
• How to assess the quality of coded images and video content, both through subjective trials and by using perceptually optimised objective metrics
• Features, operation and performance of the state-of-the-art High Efficiency Video Coding (HEVC) standard
• Covers the basics of video communications and includes a strong grounding in how we perceive images and video, and how we can exploit redundancy to reduce bitrate and improve rate distortion performance
• Gives deep insight into the pitfalls associated with the transmission of real-time video over networks (wireless and fixed)
• Uses the state-of- the-art video coding standard (H.264/AVC) as a basis for algorithm development in the context of block based compression
• Insight into future video coding standards such as the new ISO/ITU High Efficiency Video Coding (HEVC) initiative, which extends and generalizes the H.264/AVC approach

Communicating pictures a course in image and video coding 1st Table of contents:

Chapter 1. Introduction
Abstract
1.1 Communicating pictures: the need for compression
1.2 Applications and drivers
1.3 Requirements and trade-offs in a compression system
1.4 The basics of compression
1.5 The need for standards
1.6 Summary
References

Chapter 2. The Human Visual System
Abstract
2.1 Principles and theories of human vision
2.2 Acquisition: the human eye
2.3 The visual cortex
2.4 Visual fields and acuity
2.5 Color processing
2.6 Spatial processing
2.7 Perception of scale and depth
2.8 Temporal and spatio-temporal response
2.9 Attention and eye movements
2.10 Visual masking
2.11 Summary: a perceptual basis for image and video compression
References

Chapter 3. Discrete-Time Analysis for Images and Video
Abstract
3.1 Signal and picture sampling
3.2 Statistics of images
3.3 Filtering and transforms
3.4 Quantization
3.5 Linear prediction
3.6 Information and entropy
3.7 Summary
References

Chapter 4. Digital Picture Formats and Representations
Abstract
4.1 Pixels, blocks, and pictures
4.2 Formats and aspect ratios
4.3 Picture scanning
4.4 Gamma correction
4.5 Color spaces and color transformations
4.6 Measuring and comparing picture quality
4.7 Rates and distortions
4.8 Summary
References

Chapter 5. Transforms for Image and Video Coding
Abstract
5.1 The principles of decorrelating transforms
5.2 Unitary transforms
5.3 Basic transforms
5.4 Optimum transforms
5.5 Discrete cosine transform (DCT)
5.6 Quantization of DCT coefficients
5.7 Performance comparisons
5.8 DCT implementation
5.9 JPEG
5.10 Summary
References

Chapter 6. Filter Banks and Wavelet Compression
Abstract
6.1 Introduction to multiscale processing
6.2 Perfect reconstruction filter banks
6.3 Multirate filtering
6.4 Useful filters and filter banks
6.5 Coefficient quantization and bit allocation
6.6 JPEG2000
6.7 Summary
References

Chapter 7. Lossless Compression Methods
Abstract
7.1 Motivation for lossless image compression
7.2 Symbol encoding
7.3 Huffman coding
7.4 Symbol formation and encoding
7.5 Golomb coding
7.6 Arithmetic coding
7.7 Performance comparisons—Huffman vs arithmetic coding
7.8 Summary
References

Chapter 8. Coding Moving Pictures: Motion Prediction
Abstract
8.1 Temporal correlation and exploiting temporal redundancy
8.2 Motion models and motion estimation
8.3 Block matching motion estimation (BMME)
8.4 Reduced complexity motion estimation
8.5 Motion vector coding
8.6 Summary
References

Chapter 9. The Block-Based Hybrid Video Codec
Abstract
9.1 The block-based hybrid model for video compression
9.2 Intra-frame prediction
9.3 Sub-pixel motion estimation
9.4 Multiple reference frame motion estimation
9.5 Variable block sizes for motion estimation
9.6 Variable sized transforms
9.7 In-loop deblocking operations
9.8 Summary
References

Chapter 10. Measuring and Managing Picture Quality
Abstract
10.1 General considerations and influences
10.2 Subjective testing
10.3 Test data sets and how to use them
10.4 Objective quality metrics
10.5 Rate–distortion optimization
10.6 Rate control
10.7 Summary
References

Chapter 11. Communicating Pictures: Delivery Across Networks
Abstract
11.1 The operating environment
11.2 The effects of loss
11.3 Mitigating the effect of bitstream errors
11.4 Transport layer solutions
11.5 Application layer solutions
11.6 Cross layer solutions
11.7 Inherently robust coding strategies
11.8 Error concealment
11.9 Congestion management and scalable video coding
11.10 Summary
References

Chapter 12. Video Coding Standards
Abstract
12.1 The need for and role of standards
12.2 H.120
12.3 H.261
12.4 MPEG-2/DVB
12.5 H.263
12.6 MPEG-4
12.7 H.264/AVC
12.8 H.265/HEVC
12.9 Other de-facto standards and proprietary codecs
12.10 Summary
References

Chapter 13. Communicating Pictures—The Future
Abstract
13.1 The motivation: more immersive experiences
13.2 Emerging formats and extended video parameter spaces
13.3 Challenges for compression
13.4 Parametric video compression
13.5 Context-based video compression
13.6 Summary

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