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In this paper, a new technique called Mean Predictive Block Matching (MPBM) is proposed. This technique is based on adaptive rood pattern search algorithm, in which the size is dynamically determined for each macroblock, based on the mean of two motion vectors of the neighboring macroblocks instead of one as is the case with adaptive rood patter search. The proposed technique attempts to decrease...
Block matching algorithms (BMA) are central to optimal frame prediction for motion estimation in video compression. This paper focuses on the efficiency of Hierarchical Search (HS) algorithms. The research proposed two new combinations of fast algorithms like Small Diamond-shaped Search Pattern (SDSP) and Square-Shaped Search Pattern (SSSP) with a three-level Hierarchical algorithm at different levels...
In H.264 video coding standard, in order to get a higher compression ratio, H.264 adopts hexagon-based search (HEXBS) algorithm to perform motion estimation which has a large calculation. Compared with Full Search algorithm, it reduces the searching time obviously, but it still takes the most time of compression in encoding. Based on the HEXBS, this paper improved the searching algorithm. Our experimental...
It is very important that motion estimation can affect the quality of the video. Because it is easier to be realized in hardware, block matching algorithm (BMA) and compensation techniques have been widely used in video processing. But it is also the most computationally intensive module, which has limited the application. This paper proposes a novel octagon cross diamond search (NOCDS) algorithm,...
A new diamond fast motion estimation algorithm diamond for H.264 was proposed. The algorithm uses the adjacent macro block motion vectors in the spatial correlation of the neighboring macroblocks motion vectors to predict, cross template search step size can be acquired, and lots of calculation of the large diamond-shaped template (LDSP) will be reduced. Experimental results show that the calculation...
In this paper, we present a new fast Motion Estimation (ME) algorithm based on Markov Chain Model (MEMCM). Spatial-temporal correlation of video sequence and Markov Chain Model are used in the algorithm, which considers the continuity of video. Experimental simulation shows that the proposed algorithm has better performance in both speed-up and PSNR than PMVFAST.
This paper presents an improved fast fractional pel motion estimation algorithm for H.264. First, to skip inefficient fractional pel search, smooth macro-block prediction algorithm is proposed. Then, to further reduce the computation load of H.264 fractional pel motion estimation, an extended diamond pattern search algorithm based on predicted motion vector is proposed. The simulation result shows...
Motion estimation plays a key role in the H.264. It is the most computationally intensive module. In this paper, we proposed a novel adaptive cross-diamond search (ACDS) algorithm for fast block motion estimation in H.264. The proposed algorithm adaptively chooses different search pattern according to the seven types of macro block division in H.264 and the motion vector distribution characteristics...
In block motion estimation, search patterns have a large impact on the searching speed and quality of performance. Based on motion vector distribution characteristics of real world video sequences, we propose a new cross-diamond search algorithm (NCDS) using cross-search patterns before large/small diamond search patterns in this paper. NCDS employs halfway technique to achieve significant speedup...
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