By Peter M. Kuhn
MPEG-4 is the multimedia typical for combining interactivity, common and artificial electronic video, audio and computer-graphics. common 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 items is taken. this important step calls for a brand new technique for process research and layout to satisfy the significantly better flexibility of MPEG-4.
movement estimation is a relevant a part of MPEG-1/2/4 and H.261/H.263 video compression criteria and has attracted a lot realization in study and undefined, for the next purposes: it's computationally the main hard set of rules of a video encoder (about 60-80% of the complete computation time), it has a excessive influence at the visible caliber of a video encoder, and it's not 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 quick movement estimation algorithms inside of 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 varied algorithmic, architectural and approach layout facets of the multimedia usual MPEG-4. As such, all researchers, scholars and practitioners operating in photograph processing, video coding or approach and VLSI layout will locate this e-book of interest.
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Additional resources for Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
However, reduced computational complexity gained by these fast motion estimation algorithms has often to be paid for with losses in terms of visual quality and/or by irregularities in data flow. This makes it difficult to achieve efficient VLSl implementations, a problem that is discussed in detail in the next chapters. In recent years, an abundant number of fast motion estimation algorithms was proposed in literature, some being targeted on software implementation and others on VLSI implementation.
In one of the following chapters the use of some of these basic algorithmic elements is extended for arbitrarily-shaped video objects as supported within MPEG-4. Fig. g. in [Mit 97] p307). g. g. 11,' Nested loops in a unified view offast-matching algorithms for motion estimation Most of the fast motion estimation schemes published so far are based on matching algorithms, which are composed by one or more of these basic strategies: Distance criterion: distortion criterion for calculation of the distance between the previous block and a search area block.
A 3x3 pel search area is moved similar to BBGS in one pel steps to the minimum, until the local minimum point of the distance criterion is in the center of the 3x3 block. AFSBM (Adaptive Full-Search Block-Matching) was proposed by [Fang 95a). Depending on the motion classes of the MB, different search ranges for the fullsearch algorithm are applied. The motion classes are divided into low-, mediumand high-motion, depending on the SAD value of the MB at the predicted MY location falling within predetermined thresholds.
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation by Peter M. Kuhn