By Peter M. Kuhn
MPEG-4 is the multimedia commonplace for combining interactivity, ordinary and artificial electronic video, audio and computer-graphics. ordinary purposes are: net, video conferencing, cellular videophones, multimedia cooperative paintings, teleteaching and video games. With MPEG-4 the next move from block-based video (ISO/IEC MPEG-1, MPEG-2, CCITT H.261, ITU-T H.263) to arbitrarily-shaped visible gadgets is taken. this crucial step calls for a brand new technique for approach research and layout to fulfill the significantly better flexibility of MPEG-4.
movement estimation is a significant a part of MPEG-1/2/4 and H.261/H.263 video compression criteria and has attracted a lot consciousness in study and undefined, for the next purposes: it's computationally the main tough set of rules of a video encoder (about 60-80% of the entire computation time), it has a excessive effect at the visible caliber of a video encoder, and it's not standardized, hence being open to festival.
Algorithms, Complexity research, and VLSI Architectures for MPEG-4Motion Estimation covers intimately each step within the layout of a MPEG-1/2/4 or H.261/H.263 compliant video encoder:
- Fast movement estimation algorithms
- Complexity research instruments
- Detailed complexity research of a software program implementation of MPEG-4 video
- Complexity and visible caliber research of quickly movement estimation algorithms inside MPEG-4
- Design area on movement estimation VLSI architectures
- Detailed VLSI layout examples of (1) a excessive throughput and (2) a low-power MPEG-4 movement estimator.
Algorithms, Complexity research and VLSI Architectures for MPEG-4Motion Estimation is a vital advent to various algorithmic, architectural and process layout facets of the multimedia average MPEG-4. As such, all researchers, scholars and practitioners operating in photo processing, video coding or method and VLSI layout will locate this ebook of interest.
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Additional info for Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
The pattern-matching scheme for the four alternating subsampling patterns is depicted in Fig. 20. The patterns of Fig. 21 a ... d depict the subsampling pattern, which has to be used at every search position for the alternating scheme in Fig. 20 a. Fig. 20 b depicts the other possible subsampling patterns. The minimum MAD is calculated at every search position, using all patterns and resulting in four MAD loops (MAD A ... MAD D) and four candidate MV (CMVa ... CMV d). For these four motion vector candidates block-matching without subsampling is performed and the best result gives the fmal MV.
However, an in-depth overview of the state of research, classification, MPEG-4 applicability, complexity analysis, and VLSI architecture mapping of currently used fast motion estimation algorithms cannot be found there. 27 Motion Estimation Algorithms Therefore, the aim of this book is: l. To give an overview of the state-of-the-art of fast motion estimation algorithms, cf. the rest of this chapter. 2. To analyze the trade-off of complexity-reduced motion estimation versus image quality degradation with respect to the PSNRfbit rate for rectangular video objects, as well as for binary-shaped video objects supported by MPEG-4.
2: 1 or 4: 1 [Liu 93: 1] or simple filter algorithms like pel averaging etc. [Cheng 96], are often used. A theoretical analysis of pel subsampling techniques is given in [Tek 95]. 0. 19: a) 2: 1, b) 4: 1 pel decimation: only the dark marked pel positions are used. 42 CHAPTER 2 A widely known algorithm for fast motion estimation using 4: 1 pel subsampling is described in [Liu 93:1] section II, where an alternating pel subsampling pattern is used, which makes it possible to take all pels of the search area successively into account.