Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression. Traditionally these fields have developed separately because the problems they examined were regarded as very different, and the techniques used appear unrelated. Recently, though, there is growing consent among the research community that the two fields are quite closely related. Indeed, in both fields the objective is to reconstruct the best possible signal from limited information. The field of signal recovery, which is relatively mature, has long been associated with a wealth of powerful mathematical techniques such as Bayesian estimation and the theory of projects onto convex sets (to name just two). This book illustrates for the first time in a complete volume how these techniques can be brought to bear on the very important problems of image and video compression and transmission. Signal Recovery Techniques for Image and Video Compression and Transmission, which is written by leading practitioners in both fields, is one of the first references that addresses this approach and serves as an excellent information source for both researchers and practicing engineers.
This fifth volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in image and video compression and multimedia. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in Image and Video Compression and Multimedia - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss or with a small loss of quality. Thus, efficient image and video compression algorithms play a significant role in the storage and transmission of data.Image and Video Compression: Fundamentals, Techniques, and
This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.
55% new material in the latest edition of this "must-have for students and practitioners of image & video processing!This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today's explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader's own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994.* No other resource for image and video processing contains the same breadth of up-to-date coverage* Each chapter written by one or several of the top experts working in that area* Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines
Signal Recovery Techniques for Image and Video Compression and Transmission establishes a bridge between the fields of signal recovery and image and video compression. Traditionally these fields have developed separately because the problems they examined were regarded as very different, and the techniques used appear unrelated. Recently, though, there is growing consent among the research community that the two fields are quite closely related. Indeed, in both fields the objective is to reconstruct the best possible signal from limited information. The field of signal recovery, which is relatively mature, has long been associated with a wealth of powerful mathematical techniques such as Bayesian estimation and the theory of projects onto convex sets (to name just two). This book illustrates for the first time in a complete volume how these techniques can be brought to bear on the very important problems of image and video compression and transmission. Signal Recovery Techniques for Image and Video Compression and Transmission, which is written by leading practitioners in both fields, is one of the first references that addresses this approach and serves as an excellent information source for both researchers and practicing engineers.
This book constitutes the refereed proceedings of the Third IEEE Pacific Rim Conference on Multimedia, PCM 2002, held in Hsinchu, Taiwan in December 2002. The 154 revised full papers presented were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on mobile multimedia, digitial watermarking and data hiding, motion analysis, mulitmedia retrieval techniques, image processing, mulitmedia security, image coding, mulitmedia learning, audio signal processing, wireless multimedia streaming, multimedia systems in the Internet, distance education and multimedia, Internet security, computer graphics and virtual reality, object tracking, face analysis, and MPEG-4.
This book constitutes the refereed proceedings of the Third IEEE Pacific Rim Conference on Multimedia, PCM 2002, held in Hsinchu, Taiwan in December 2002. The 154 revised full papers presented were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on mobile multimedia, digitial watermarking and data hiding, motion analysis, mulitmedia retrieval techniques, image processing, mulitmedia security, image coding, mulitmedia learning, audio signal processing, wireless multimedia streaming, multimedia systems in the Internet, distance education and multimedia, Internet security, computer graphics and virtual reality, object tracking, face analysis, and MPEG-4.
Interactive Distributed Multimedia Systems (IDMS) and Protocols for Mul- media Systems (PROMS) have been two successful series of international events bringing together researchers, developers and practitioners from academia and industry in all areas of multimedia systems. These two workshops successfully merged in 2003 and now constitute the MIPS workshop. After the outstanding MIPS 2003 workshop, organized in Naples, Italy, by GiorgioVentreandRobertoCanonico,fromtheUniversityofNaplesFedericoII, MIPS2004movedtoGrenoble,France. Followingthegreattradition,MIPS2004 was intended to contribute to scienti?c, strategic and practical advances in the area of distributed multimedia applications, protocols and intelligent mana- ment tools, with emphasis on their provision over novel network architectures. This is undoubtedly a rather broad area, which is con?rmed by the large range of topics that were addressed in the submitted (and accepted) papers. This year the Call for Papers attracted 74 submissions, essentially from - rope and Asia, plus a few contributions from North America, the Middle East, and Africa, for a total of 20 countries. We would like to express our warmest gratitude to all the authors, without whom organizing this event would have been impossible! Thanks to the outstanding work of the Program Committee and the ad- tional reviewers, 20 full-sized papers and 5 additional short papers were ?nally accepted, which was not an easy task. Like MIPS 2003, MIPS 2004 remained a highly selective event (33% acceptance ratio, including the short papers) which is the best warrant of a good program quality.
Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics. The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics: Image zooming based on wavelets and generalized interpolation; Super-resolution from sub-pixel shifts; Use of blur as a cue; Use of warping in super-resolution; Resolution enhancement using multiple apertures; Super-resolution from motion data; Super-resolution from compressed video; Limits in super-resolution imaging. Written by the leading experts in the field, Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.
