Video coding techniques

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....

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Information has become one of the most valuable assets in the modern era. Within the last 5-10 years, the demand for multimedia applications has increased enormously. Like many other recent developments, the materialization of image and video encoding is due to the contribution from major areas like good network access, good amount of fast processors e.t.c. Many standardization procedures were carrried out for the development of image and video coding.

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This book is intended to attract the attention of practitioners and researchers from industry and academia interested in challenging paradigms of multimedia video coding, with an emphasis on recent technical developments, cross-disciplinary tools and implementations. Given its instructional purpose, the book also overviews recently published video coding standards such as H.264/AVC and SVC from a simulational standpoint.

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Scalable Video Coding with Interlayer Signal Decorrelation Techniques

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Motion Estimation and Signaling Techniques for 2D+t Scalable Video Coding

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Framework for Adaptive Scalable Video Coding Using Wyner-Ziv Techniques

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Due to the expansion and diversity of multimedia applications and the underlying networking platforms with their associated communication protocols, there has been a growing need for inter-network communications and media gateways. Eventually, these applications will encounter compatibility problems. Not only will asymmetric networks run different set of communication protocols, but they will also operate various kinds of incompatible source coding algorithms that are characterised by different target bit rates and compression techniques. ...

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Visual compression has been a very active field of research and development for over 20 years, leading to many different compression systems and to the definition of international standards. There is likely to be a continued need for better compression efficiency, as video content becomes increasingly ubiquitous and places unprecedented pressure on upcoming new applications in the future. At the same time, the challenge of handling ever more diverse content coded in a wide variety of formats makes reconfigurable coding a potentially useful prospect....

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As introduced in the previous chapter, differential coding achieves high coding efficiency by utilizing the correlation between pixels existing in image frames. Transform coding (TC), the focus of this chapter, is another efficient coding scheme based on utilization of interpixel correlation. As we will see in Chapter 7, TC has become a fundamental technique recommended by the international still image coding standard, JPEG. Moreover, TC has been found to be efficient in coding prediction error in motion-compensated predictive coding.

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As mentioned in Chapter 10, optical flow is one of three major techniques that can be used to estimate displacement vectors from successive image frames. As opposed to the other two displacement estimation techniques discussed in Chapters 11 and 12, block matching and pel recursive method, however, the optical flow technique was developed primarily for 3-D motion estimation in the computer vision community.

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Why reinvent the wheel every time you run into a problem with JavaScript? This cookbook is chock-full of code recipes that address common programming tasks, as well as techniques for building web apps that work in any browser. Just copy and paste the code samples into your project - you'll get the job done faster and learn more about JavaScript in the process.

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The Fourier transform and its extensions have historically been the prime vehi- cle for signal analysis and representation. Since the early 1970s, block transforms with real basis functions, particularly the discrete cosine transform (DCT), have been studied extensively for transform coding applications. The availability of simple fast transform algorithms and good signal coding performance made the DCT the standard signal decomposition technique, particularly for image and video. The international standard image-video coding algorithms, i.e., CCITT...

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THE TELEVISION RECEIVER In Chapter 6, the coding of video signals in a form suitable for transmission over a telecommunication channel was discussed. In this chapter, the techniques for decoding the signals and their presentation on a cathode ray tube will be examined. The television receiver is almost identical to the AM radio receiver in its use of the superheterodyne principle. There are a few differences in the details of the signal processing due to the greater complexity of the system. Figure 7.l shows a block diagram of a typical television receiver....

25p tienvovan 11-09-2010 64 8   Download

After the introduction to image and video compression presented in Chapter 1, we now address several fundamental aspects of image and video compression in the remaining chapters of Section I. Chapter 2, the first chapter in the series, concerns quantization. Quantization is a necessary component in lossy coding and has a direct impact on the bit rate and the distortion of reconstructed images or videos. We discuss concepts, principles and various quantization techniques which include uniform and nonuniform quantization, optimum quantization, and adaptive quantization. 2.

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