InTeOp, 2013. — 210 p. — ISBN-10: 9535109297 ISBN-13: 978-9535109297.In recent years, various multimedia services have become available and the demand for high-quality visual information is growing rapidly. Digital image and video data are considered as valuable assets in the modern era. Like many other recent developments, image and video coding techniques have been advanced significantly during the last decade. Several international activities have been carried out to develop image and video coding standards, such as MPEG and H.264/AVC, to provide high visual quality while reducing storage and transmission requirements. This book aims to bring together recent advances and applications of video coding. All chapters can be useful for researchers, engineers, graduate and postgraduate students, experts in this area, and hopefully also for people who are generally interested in video coding. The book includes nine carefully selected chapters. The chapters deal with advanced compression techniques for multimedia applications, concerning recent video coding standards, high efficiency video coding (HEVC), multiple description coding, region of interest (ROI) coding, shape compensation, error resilient algorithms for H.264/AVC, wavelet-based coding, facial video coding, and hardware implementations. This book provides several useful ideas for your own research and helps to bridge the gap between the basic video coding techniques and practical multimedia applications. We hope this book is enjoyable to read and will further contribute to video coding. This book is divided in three parts and has nine chapters in total. All the parts of the book are devoted to novel video coding algorithms and techniques for multimedia applications. First four chapters in Part 1 describe new advances in the state-of-the-art video coding techniques, such as lossless high efficiency video coding (HEVC), multiple description video coding, region of interest video coding, and shape compensation methods. Part 2 concentrates on channel-friendly video coding techniques for real-time communications and data transmission, including error reconstruction over the wireless packet-switched network, optimal rate allocation for wavelet-based video coding, and facial video coding using the side view. Part 3 is dedicated to the architecture design and hardware implementation of video coding schemes.Section 1 Advanced Video Coding Techniques Differential Pixel Value Coding for HEVC Lossless Compression Multiple Descriptions Coinciding Lattice Vector Quantizer for H.264/AVC and Motion JPEG 2000 Region of Interest Coding for Aerial Video Sequences Using Landscape Models Compensation Methods for Video Coding Section 2 Video Coding for Transmission Error Resilient H.264 Video Encoder with Lagrange Multiplier Optimization Based on Channel Situation Optimal Bit-Allocation for Wavelet Scalable Video Coding with User Preference Side View Driven Facial Video Coding Section 3 Hardware-Efficient Architecture of Video Coder Algorithm and VLSI Architecture Design for MPEG-Like High Definition Video Coding‐AVS Video Coding from Standard Specification to VLSI Implementation Implementation of Lapped Biorthogonal Transform for JPEG-XR Image Coding
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