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By Peter M. Kuhn
MPEG-4 is the multimedia usual for combining interactivity, average and artificial electronic video, audio and computer-graphics. normal functions are: web, video conferencing, cellular videophones, multimedia cooperative paintings, teleteaching and video games. With MPEG-4 your next step 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 satisfy the significantly larger flexibility of MPEG-4.
movement estimation is a vital a part of MPEG-1/2/4 and H.261/H.263 video compression criteria and has attracted a lot cognizance in study and undefined, for the next purposes: it's computationally the main not easy set of rules of a video encoder (about 60-80% of the entire computation time), it has a excessive influence at the visible caliber of a video encoder, and it isn't standardized, hence being open to pageant.
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 speedy 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 method layout features of the multimedia average MPEG-4. As such, all researchers, scholars and practitioners operating in picture processing, video coding or approach and VLSI layout will locate this publication of interest.
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Additional resources for Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
If the minimum point of a search zone is at the center, the matching process stops, otherwise the search continues in the next zone until the distortion criterion reaches a certain threshold. -4 -3 -2 -I '1 ":' ~ -;' 0 2 -~ 3 '"'
This method is based on the rationale that if a motion vector is the optimum in the full distortion measure, there is a high probability that it will be one of the motion vectors with minimal values in the partial distortion measure. A speed-up of 6 to 20 is gained compared to full-search. e. of a pyramid form). Among several possibilities to gain multiresolution representations some are listed here. Gaussian pyramid which employs calculation intensive filters as used in [Shi 97] together with hierarchy-dependent threshold settings.
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