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Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards, Second Edition (Image Processing Series)
 
 
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Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards, Second Edition (Image Processing Series) [Hardcover]

Yun Q. Shi (Author), Huifang Sun (Author)
3.7 out of 5 stars  See all reviews (10 customer reviews)

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Book Description

0849373646 978-0849373640 March 24, 2008 2
Multimedia hardware still cannot accommodate the demand for large amounts of visual data. Without the generation of high-quality video bitstreams, limited hardware capabilities will continue to stifle the advancement of multimedia technologies. Thorough grounding in coding is needed so that applications such as MPEG-4 and JPEG 2000 may come to fruition.

Image and Video Compression for Multimedia Engineering provides a solid, comprehensive understanding of the fundamentals and algorithms that lead to the creation of new methods for generating high quality video bit streams. The authors present a number of relevant advances along with international standards.

New to the Second Edition

·         A chapter describing  the recently developed video coding standard, MPEG-Part 10 Advances Video Coding also known as H.264

·         Fundamental concepts and algorithms of JPEG2000

·         Color systems of digital video

·         Up-to-date video coding standards and profiles

Visual data, image, and video coding will continue to enable the creation of advanced hardware, suitable to the demands of new applications. Covering both image and video compression, this book yields a unique, self-contained reference for practitioners tobuild a basis for future study, research, and development.


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Product Details

  • Hardcover: 576 pages
  • Publisher: CRC Press; 2 edition (March 24, 2008)
  • Language: English
  • ISBN-10: 0849373646
  • ISBN-13: 978-0849373640
  • Product Dimensions: 9.7 x 7 x 1.9 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #1,937,122 in Books (See Top 100 in Books)

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Average Customer Review
3.7 out of 5 stars (10 customer reviews)
 
 
 
 
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4 of 4 people found the following review helpful:
5.0 out of 5 stars Book Review, September 6, 2000
By A Customer
A book review of Image and Video Compression for Multimedia Engineering ¾ Fundamentals, Algorithms, and Standards, by Yun Q. Shi and Huifang Sun

Image and video compression is one of the turnkey technologies, and often indispensable, to visual communication and multimedia engineering. I am very please to see such timely and outstanding book, which is jointly written by two internationally well-known scholars, one from academia and the other from industry, and also a veteran contributor in the MPEG standards arena. With much interests and admiration while reading this book, I would like to highlight my perspectives in reviewing the book as follows.

1. The entire book (with 480 pages in total) consists of twenty chapters and is properly divided into four parts. The logical ordering of these chapters and their sections is excellent with balanced treatment throughout. The book has its unique way in partitioning the vast material in this field that I can not find it in any other books.

2. The fundamental theories and concepts have been contained in the first part (i.e., the first 6 chapters). They are written in a systematically manner ¾ step-by-step, clearly and succinctly. This part lays a solid foundation for the remaining parts of the book. Together with Part III commented in the following, these two parts serve as the foundation of finalized image and video compression standards.

3. The topic of Motion Estimation covered in Part III is a special pre-requisite to video compression. This part is well-written and contains many updated research results. It not only clearly describes the block-matching methodology that has been adopted in all video coding standards, but also covers two intimately related techniques ¾ Pel Recursive and Optical Flow, in order to form a complete treatment and appreciation for the entire 2-D motion estimation methods.

In particular, I found that the last chapter of this part (i.e., Chapter 14) is very unique and interesting. It offers insightful observations and comments about motion estimation topic from general and fundamental perspectives. This chapter will certainly provide a 'playground' in triggering new research ideas for the readers along the way.

4. Part II and IV that cover image and video compression standards, respectively, are written by the second author, who has been regularly and actively participating international MPEG standards meetings for years. With his actual involvement of the standardization activities, these two parts are written in a concise, clear and authoritative way that greatly helps the readers to understand the very 'dry' materials from the standards specifications otherwise.

In Part II, advanced and proprietary image coding methods, such as vector quantization and fractal coding, are also included to let the users have her/his choice in building up more appreciation about image compression, as desired.

5. At the end of each chapter, there are two important sections; namely, Summary and Exercises. I found that they are very useful in enhancing reader's understanding about the respective topics discussed. Note that the questions in the subject of image and video compression are not necessarily always imposed in quantitative and computational style. In fact, perspective and philosophical quizzes could often be derived from long hours of research and insightful observations. Particularly, in the standards, readers could have more insights about 'why' and 'how' the standards are set in such way, rather than just 'what'.

In conclusion, I must congratulate the authors on their wonderful achievement in publishing such excellent book. Overall, the book is highly organized, well balanced and clearly written with ample illustrations by using figures and tables. The mathematical equations are clear, accurate, and with consistent notations used throughout the entire book. A set of core references are conveniently provided at the end of each chapter, which is better than encyclopaedia style of long citations that might be found in other books, to help readers in focusing the studies of fundamentals. The book indeed establishes its authority on simultaneously presenting solid fundamentals of image and video compression and disseminating difficult materials of compression standards. I found that this is truly an outstanding graduate-level textbook. It can be also served as a valuable reference book to researchers from academia and engineers from industry. (End)

Reviewer:

Kai-Kuang Ma, PhD, Associate Professor School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

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6 of 7 people found the following review helpful:
4.0 out of 5 stars A good theoretical overview, April 3, 2000
This is a good book on compression techniques for still images and video. It's an overview of the various algorithms and may be good for the theoretic studies, but for the practical aspects of implementation it seams to be not enough indepth and concrete. For ex. it describes the video compression standards (MPEG 1,2,4 H.263 etc) pretty good but does nothing about the implementation. The Motion Estimation and Compensation described in general, I mean only basic algorithms are discussed. More optimisation algorithms could be appreciate.

This book is perhaps most useful to get an overview of problems and approaches to image and video compression.

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1 of 1 people found the following review helpful:
5.0 out of 5 stars A good desk copy, November 21, 2000
A Kid's Review
Image and Video Compression for Multimedia Engineering is very good desk copy for engineers who are working on digital image processing and digital video compression. You can find basic theory to current standards regarding digital image processing and video compression.
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First Sentence:
Image and video data compression refers to a process in which the amount of data used to represent image and video is reduced to meet a bit rate requirement (below or at most equal to the maximum available bit rate), while the quality of the reconstructed image or video satisfies a requirement for a certain application and the complexity of computation involved is affordable for the application. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
hierarchical coding mode, scaled bitstream, multigrid block matching, least probable source symbols, conventional block matching technique, frame replenishment technique, input vector source, optimal coding performance, optimum uniform quantizer, optical flow determination, multiresolution block matching, spatial image sequences, uniform quantizer design, visual quality measurement, pel recursive technique, source symbol string, overlapped block matching, input text stream, dirty window effect, bitstream scaling, motion field segmentation, more accurate motion estimation, information theory results, interpixel correlation, zonal coding
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Miss America, Englewood Cliffs, Consumer Elec, Video Technol, Academic Press, Bell Syst, Image Process, Image Transmission Techniques, Signal Process, Bell Svst, Flower Garden, Grand Alliance, Pattern Anal, Table Tennis, Velocity Results Techniques Average Error, Digital Coding of Waveforms, Diverging Tree, Imaging Syst, Joint Photographic Experts Group, San Francisco, Translating Tree, Hamburg Taxi, Image Sequence Analysis, Morgan Kaufmann Publishers
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