Video Processing and Communications

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9780130175472: Video Processing and Communications

Useful as a reference work, this book offers a good balance between theoretical concepts and practical solutions, with more rigorous formulation of certain problems such as motion estimation, sampling, basic coding theory. Provides an in-depth exposition of fundamental theory and techniques for video processing, including frequency domain characterization of video signals and visual perception, video sampling and format conversion, two dimensional and three dimensional motion estimation. Also presents techniques important for video communications, including video coding and error control, and up-to-date coverage on recent international standards on video communications. A chapter is devoted to video streaming over Internet and wireless networks, one of the most popular video communication applications. In addition, it discusses processing and communications of stereoscopic and multiview video. Practicing researchers and engineers.

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From the Back Cover:

Yao Wang received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 1983 and 1985, respectively, and the Ph.D. degree in electrical and computer engineering from the University of California at Santa Barbara in 1990. Since 1990, she has been with the Faculty of Electrical Engineering, Polytechnic University, Brooklyn, NY. Her research areas include video communications, multimedia signal processing, and medical imaging. She has authored and co-authored over 100 papers in journals and conference proceedings. She is a senior member of IEEE and has served as an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology and the IEEE Transactions on Multimedia. She won the Mayor's Award of the City of New York for Excellence in Science and Technology in the Young Investigator category in 2000.

Jörn Ostermann studied electrical engineering and communications engineering at the University of Hannover and Imperial College London, respectively. He received Dipl.-Ing. and Dr.-Ing. from the University of Hannover in 1988 and 1994, respectively. He has been a staff member with Image Processing and Technology Research, AT&T Labs¾Research since 1996, where he is engaged in research on video coding, shape coding, multi-modal human-computer interfaces with talking avatars, standardization, and image analysis. He is a German National Foundation scholar. In 1998, he received the AT&T Standards Recognition Award and the ISO award. He is a member of the IEEE, the IEEE Technical Committee on Multimedia Signal Processing, and chair of the IEEE CAS Visual Signal Processing and Communications (VSPC) Technical Committee.

Ya-Qin Zhang received the B.S. and M.S. degrees in electrical engineering from the University of Science and Technology of China (USTC) in 1983 and 1985, respectively, and the Ph.D. degree from George Washington University in 1989. He is currently the Managing Director of Microsoft Research in Beijing, after leaving his post as the Director of Multimedia Technology Laboratory at the Sarnoff Corporation in Princeton, NJ (formerly the David Sarnoff Research Center, and RCA Laboratories). He has been engaged in research and commercialization of MPEG2/DTV, MPEG4/VLBR, and multimedia information technologies. He has authored and co-authored over 200-refereed papers in leading international conference proceedings and journals. He has been granted over 40 U.S. patents in digital video, Internet, multimedia, wireless and satellite communications. He was the Editor-in-Chief of the IEEE Transactions on Circuits and Systems for Video Technology from 1997 to 1999. He is a Fellow of the IEEE.

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In the past decade or so, there have been fascinating developments in multimedia representation and communications. First of all, it has become very clear that all aspects of media are "going digital"; from representation to transmission, from processing to retrieval, from studio to home. Second, there have been significant advances in digital multimedia compression and communication algorithms, which make it possible to deliver high-quality video at relatively low bit rates in today's networks. Third, the advancement in VLSI technologies has enabled sophisticated software to be implemented in a cost-effective manner. Last but not least, the establishment of half a dozen international standards by ISO/MPEG and ITU-T laid the common groundwork for different vendors and content providers.

At the same time, the explosive growth in wireless and networking technology has profoundly changed the global communications infrastructure. It is the confluence of wireless, multimedia, and networking that will fundamentally change the way people conduct business and communicate with each other. The future computing and communications infrastructure will be empowered by virtually unlimited bandwidth, full connectivity, high mobility, and rich multimedia capability.

As multimedia becomes more pervasive, the boundaries between video, graphics, computer vision, multimedia database, and computer networking start to blur, making video processing an exciting field with input from many disciplines. Today, video processing lies at the core of multimedia. Among the many technologies involved, video coding and its standardization are definitely the key enablers of these developments. This book covers the fundamental theory and techniques for digital video processing, with a focus on video coding and communications. It is intended as a textbook for a graduate-level course on video processing, as well as a reference or self-study text for researchers and engineers. In selecting the topics to cover, we have tried to achieve a balance between providing a solid theoretical foundation and presenting complex system issues in real video systems.

SYNOPSIS

Chapter 1 gives a broad overview of video technology, from analog color TV system to digital video. Chapter 2 delineates the analytical framework for video analysis in the frequency domain, and describes characteristics of the human visual system. Chapters 3-12 focus on several very important sub-topics in digital video technology. Chapters 3 and 4 consider how a continuous-space video signal can be sampled to retain the maximum perceivable information within the affordable data rate, and how video can be converted from one format to another. Chapter 5 presents models for the various components involved in forming a video signal, including the camera, the illumination source, the imaged objects and the scene composition. Models for the three-dimensional (3-D) motions of the camera and objects, as well as their projections onto the two-dimensional (2-D) image plane, are discussed at length, because these models are the foundation for developing motion estimation algorithms, which are the subjects of Chapters 6 and 7. Chapter 6 focuses on 2-D motion estimation, which is a critical component in modern video coders. It is also a necessary preprocessing step for 3-D motion estimation. We provide both the fundamental principles governing 2-D motion estimation, and practical algorithms based on different 2-D motion representations. Chapter 7 considers 3-D motion estimation, which is required for various computer vision applications, and can also help improve the efficiency of video coding.

Chapters 8-11 are devoted to the subject of video coding. Chapter 8 introduces the fundamental theory and techniques for source coding, including information theory bounds for both lossless and lossy coding, binary encoding methods, and scalar and vector quantization. Chapter 9 focuses on waveform-based methods (including transform and predictive coding), and introduces the block-based hybrid coding framework, which is the core of all international video coding standards. Chapter 10 discusses content-dependent coding, which has the potential of achieving extremely high compression ratios by making use of knowledge of scene content. Chapter 11 presents scalable coding methods, which are well-suited for video streaming and broadcasting applications, where the intended recipients have varying network connections and computing powers. Chapter 12 introduces stereoscopic and multiview video processing techniques, including disparity estimation and coding of such sequences.

Chapters 13-15 cover system-level issues in video communications. Chapter 13 introduces the H.261, H.263, MPEG-1, MPEG-2, and MPEG-4 standards for video coding, comparing their intended applications and relative performance. These standards integrate many of the coding techniques discussed in Chapters 8-11. The MPEG-7 standard for multimedia content description is also briefly described. Chapter 14 reviews techniques for combating transmission errors in video communication systems, and also describes the requirements of different video applications, and the characteristics of various networks. As an example of a practical video communication system, we end the text with a chapter devoted to video streaming over the Internet and wireless network. Chapter 15 discusses the requirements and representative solutions for the major subcomponents of a streaming system.

SUGGESTED USE FOR INSTRUCTION AND SELF-STUDY

As prerequisites, students are assumed to have finished undergraduate courses in signals and systems, communications, probability, and preferably a course in image processing. For a one-semester course focusing on video coding and communications, we recommend covering the two beginning chapters, followed by video modeling (Chapter 5), 2-D motion estimation (Chapter 6), video coding (Chapters 8-11), standards (Chapter 13), error control (Chapter 14) and video streaming systems (Chapter 15). On the other hand, for a course on general video processing, the first nine chapters, including the introduction (Chapter 1), frequency domain analysis (Chapter 2), sampling and sampling rate conversion (Chapters 3 and 4), video modeling (Chapter 5), motion estimation (Chapters 6 and 7), and basic video coding techniques (Chapters 8 and 9), plus selected topics from Chapters 10-13 (content-dependent coding, scalable coding, stereo, and video coding standards) may be appropriate. In either case, Chapter 8 may be skipped or only briefly reviewed if the students have finished a prior course on source coding. Chapters 7 (3-D motion estimation), 10 (content-dependent coding), 11 (scalable coding), 12 (stereo), 14 (error-control), and 15 (video streaming) may also be left for an advanced course in video, after covering the other chapters in a first course in video. In all cases, sections denoted by asterisks (*) may be skipped or left for further exploration by advanced students.

Problems are provided at the end of Chapters 1-14 for self-study or as homework assignments for classroom use. Appendix D gives answers to selected problems. The website for this book ( www.prenhall.com/wang ) provides MATLAB scripts used to generate some of the plots in the figures. Instructors may modify these scripts to generate similar examples. The scripts may also help students to understand the underlying operations. Sample video sequences can be downloaded from the website, so that students can evaluate the performance of different algorithms on real sequences. Some compressed sequences using standard algorithms are also included, to enable instructors to demonstrate coding artifacts at different rates by different techniques.

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Book Description Prentice Hall, 2001. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: (NOTE: Each chapter concludes with Summary, Problems, and Bibliography. 1. Video Formation, Perception, and Representation. Color Perception and Specification. Video Capture and Display. Analog Video Raster. Analog Color Television Systems. Digital Video. 2. Fourier Analysis of Video Signals and Frequency Response of the Human Visual System. Multidimensional Continuous-Space Signals and Systems. Multidimensional Discrete-Space Signals and Systems. Frequency Domain Characterization of Video Signals. Frequency Response of the Human Visual System. 3. Video Sampling. Basics of the Lattice Theory. Sampling over Lattices. Sampling of Video Signals. Filtering Operations in Cameras and Display Devices. 4. Video Sampling Rate Conversion. Conversion of Signals Sampled on Different Lattices. Sampling Rate Conversion of Video Signals. 5. Video Modeling. Camera Model. Illumination Model. Object Model. Scene Model. Two-Dimensional Motion Models. 6. Two-Dimensional Motion Estimation. Optical Flow. General Methodologies. Pixel-Based Motion Estimation. Block-Matching Algorithm. Deformable Block-Matching Algorithms. Mesh-Based Motion Estimation. Global Motion Estimation. Region-Based Motion Estimation. Multiresolution Motion Estimation. Application of Motion Estimation in Video Coding. 7. Three-Dimensional Motion Estimation. Feature-Based Motion Estimation. Direct Motion Estimation. Iterative Motion Estimation. 8. Foundations of Video Coding. Overview of Coding Systems. Basic Notions in Probability and Information Theory. Information Theory for Source Coding. Binary Encoding. Scalar Quantization. Vector Quantization. 9. Waveform-Based Video Coding. Block-Based Transform Coding. Predictive Coding. Video Coding Using Temporal Prediction and Transform Coding. 10. Content-Dependent Video Coding. Two-Dimensional Shape Coding. Texture Coding for Arbitrarily Shaped Regions. Joint Shape and Texture Coding. Region-Based Video Coding. Object-Based Video Coding. Knowledge-Based Video Coding. Semantic Video Coding. Layered Coding System. 11. Scalable Video Coding. Basic Modes of Scalability. Object-Based Scalability. Wavelet-Transform-Based Coding. 12. Stereo and Multiview Sequence Processing. Depth Perception. Stereo Imaging Principle. Disparity Estimation. Intermediate View Synthesis. Stereo Sequence Coding. 13. Video Compression Standards. Standardization. Video Telephony with H.261 and H.263. Standards for Visual Communication Systems. Consumer Video Communications with MPEG-1. Digital TV with MPEG-2. Coding of Audiovisual Objects with MPEG-4. Video Bit Stream Syntax. Multimedia Content Description Using MPEG-7. 14. Error Control in Video Communications. Motivation and Overview of Approaches. Typical Video Applications and Communications Networks. Transport-Level Error Control. Error-Resilient Encoding. Decoder Error Concealment. Encoder-Decoder Interactive Error Control. Error-Resilience Tools in H.263 and MPEG-4. 15. Streaming Video over the Internet and Wireless IP Networks. Architecture for Video Streaming Systems. Video Compression. Application-Layer QoS Control for Streaming Video. Continuous Media Distribution Services. Streaming Servers. Media Synchronization. Protocols for Streaming Video. Streaming Video over Wireless IP Networks. Appendix A. Determination of Spatial-Temporal Gradients. First- and Second-Order Gradient. Sobel Operator. Difference of Gaussian Filters. Appendix B. Gradient Descent Methods. <. Bookseller Inventory # ABE_book_new_0130175471

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Book Description Pearson Education (US), United States, 2001. Hardback. Book Condition: New. 236 x 180 mm. Language: English . Brand New Book. For graduate level courses in digital video processing and communications, and as a reference book for practicing researchers and engineers. With more insights and examples than other texts of its kind, Video Processing and Communications provides a good balance between theoretical concepts and practical solutions, with more rigorous formulation of certain problems such as motion estimation, sampling, basic coding theory. It is unique in its coverage of error control, scalable coding, and video streaming applications, and offers more comprehensive coverage than competitors on timely coding techniques, including issues of practical importance such as rate control, mode selection, scalable coding, and error resilience. It also contains a concise description of latest video coding standards. Bookseller Inventory # AAC9780130175472

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