By Peter M. Kuhn
MPEG-4 is the multimedia normal for combining interactivity, typical and artificial electronic video, audio and computer-graphics. average 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 method for method 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 cognizance in learn and undefined, for the subsequent purposes: it's computationally the main difficult set of rules of a video encoder (about 60-80% of the full computation time), it has a excessive influence at the visible caliber of a video encoder, and it isn't 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 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 various algorithmic, architectural and method layout features of the multimedia typical MPEG-4. As such, all researchers, scholars and practitioners operating in picture processing, video coding or procedure and VLSI layout will locate this e-book of interest.
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Extra info for Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
8: Advanced prediction motion estimation (jour 8x8 blocks) To decide between using one 16x16 MV (MVO) or four 8x8 MVs, (MVO, MVl, MV2, MV3), the SADN =8 of these four 8x8 blocks are summarized and compared with the SAD N =/6. Finally the mode with the smallest SAD is chosen. 7 Fractional-pel motion estimation Fractional-pel motion estimation is advantageous to gain an improved prediction image. g. in [Girod 93] and [Bha 95] pl22. e. 263], [MPEG-4]. 5] pel around the target matrix pointed to by MVO, ...
1- .. 1- .. r ............ 16: a) Large diamond search pattern (LDSP), b) small diamond search pattern (SDSP), c) movement of LDSP for the 2-step diamond search [Zhu 97] Other scene-adaptive search algorithms: ABMA (Adaptive search area Block-Matching Algorithm) was proposed by [Chain 95] and uses the spatial correlation of motion vectors to adjust the size of the search area, based on the previous MY in the MB scan line, and the maximum motion velocity defined by two thresholds in x- and y-direction.
DRAM/SRAM with embedded computational logic). BPM (Bit-Plane-Matching) In [Feng 95], [Feng 95a] BPM (Bit-Plane-Matching) was employed as the first step of a search range adaptive hierarchical scheme to determine candidate motion vectors, which are evaluated in a further step using the MAD criterion. 56) BFM (Block Feature Matching) The block feature-matching (BFM) criterion was introduced by [Luo 97], which allows an efficient VLSI implementation. 62) NxN Bits Binary Sign Vector: Nk(x,y) = [Nix,y)+Nk(x+l,y)+ ...