By Sergios Theodoridis, Rama Chellappa
This 5th quantity, edited and authored via global prime specialists, offers a evaluate of the rules, tools and methods of significant and rising learn issues and applied sciences in photograph and video compression and multimedia.
With this reference resource you will:
- Quickly seize a brand new sector of analysis
- Understand the underlying ideas of a subject matter and its application
- Ascertain how a subject pertains to different components and examine of the study matters but to be resolved
- Quick instructional stories of significant and rising subject matters of analysis in snapshot and Video Compression and Multimedia
- Comprehensive references to magazine articles and different literature on which to construct additional, extra particular and unique knowledge
- Edited by means of leading people in the sector who, via their recognition, were capable of fee specialists to put in writing on a selected topic
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Multimedia applied sciences have gotten extra refined, allowing the web to deal with a swiftly becoming viewers with an entire diversity of providers and effective supply equipment. even though the net now places conversation, schooling, trade and socialization at our finger counsel, its quick progress has raised a few weighty safety issues with appreciate to multimedia content material.
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Additional info for Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia
5 Transform-domain approaches The basic idea of transform-domain approaches is to estimate the motion vectors from a measure performed in the transform domain, for instance with a Fourier transform, a Discrete Cosine Transform (DCT), or a Discrete Wavelet Transform (DWT). For this purpose, the effect of the 2D motion on the characteristics of the transform has to be studied. 1 Motion estimation in the Fourier or DCT domain Let us first consider the case of motion estimation in the Fourier domain [27,28].
3) After transmission or storage, we must rescale the quantized transform coefficients prior to inverse transformation, thus: c Q (i, j)QWi, j c(i, ˜ j) = . 4. 4 Effects of coefficient quantization on various types of data block. 15 16 CHAPTER 1 An Introduction to Video Coding coefficients in order to create a good approximation to the original content. The best reconstruction can be achieved with fewer coefficients for the case of untextured blocks, as shown for the left-hand block in the figure.
261  followed this in 1989 with a codec based on a p × 64 kbps ( p = 1 · · · 30) targetted at ISDN conferencing applications. This was the first block-based hybrid compression algorithm using a combination of transformation (the Discrete Cosine Transform (DCT)), temporal Differential Pulse Code Modulation (DPCM), and motion compensation. This architecture has stood the test of time as all major video coding standards since have been based on it. 5 Mbs/s in 1992. This was followed in 1994 by MPEG-2 , specifically targetted at the emerging digital video broadcasting market.
Academic Press Library in Signal Processing, Volume 5: Image and Video Compression and Multimedia by Sergios Theodoridis, Rama Chellappa