By Sergios Theodoridis, Rama Chellappa
This 5th quantity, edited and authored through international prime specialists, provides a assessment of the foundations, tools and methods of significant and rising learn themes and applied sciences in photo and video compression and multimedia.
With this reference resource you will:
- Quickly take hold of a brand new region of analysis
- Understand the underlying ideas of a subject matter and its application
- Ascertain how an issue pertains to different parts and study of the study concerns but to be resolved
- Quick instructional stories of vital and rising themes of analysis in photograph and Video Compression and Multimedia
- Comprehensive references to magazine articles and different literature on which to construct extra, extra particular and certain knowledge
- Edited through leading people in the sphere who, via their attractiveness, were in a position to fee specialists to write down on a selected topic
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Extra info for Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia
2 The performance of current standards An excellent comparison of coding standards is provided by Ohm et al. in , where a comprehensive comparison between HEVC and previous standards is reported. 3, noting that even greater improvements were reported for interactive applications. 120 in 1984, delivered a halving of bit rate for the equivalent video quality every 10 years. 3. 10 Conclusions This chapter has introduced the requirements for, and applications of video compression. It has examined the architecture of a compression system in the context of modern communication systems and has shown that its design is often a compromise between coding rate, picture quality, and implementation complexity.
However, the number of parameters is also higher. Therefore, it makes the estimation process more difficult and complex, and possibly prone to errors. Moreover, a complex motion model does not allow for a compact representation of the motion information. 3 Region of support The region of support is the set of image pixels to which a motion model applies. We can distinguish the following four cases: • • Pixel-based: A motion vector is assigned to each pixel of the image, resulting in a dense motion field.
Finally the justification for universal compression standards has been presented, and the performance of recent standards compared in terms of their rate-distortion characteristics. The remainder of this section will cover many of these topics in more detail and place them in the context of current and future standards, formats, and transmission requirements. Chapter 2 expands on the important area of motion estimation, demonstrating efficient means of achieving temporal decorrelation in the coding process.
Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia by Sergios Theodoridis, Rama Chellappa