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Both fast and accurate block-matching algorithms are critical to efficient compression of video frames using motion estimation and compensation. While the particle swarm optimization approach holds the promise of alleviating the local optima problem suffered typically by existing very fast block matching methods, motion estimation algorithms based on particle swarm optimization in the literature appear...
In this work, we propose a maximum-likelihood (ML) soft-decision decoding algorithm of linear block codes based on an enhanced tree-based search algorithm. The algorithm considers each codeword as a tree branch and explores the subtree corresponding to the more reliable basis (MRB) of received vectors. By making use of the pre-defined ensemble branches and their costs, the branch evaluation process...
Block-based motion estimation is widely employed by many video compression systems to capture temporal correlations of the data. While the exhaustive full search block matching method can find globally optimal candidates without any loss in the matching accuracy, high computational complexity of this method limits its practical applications. Lossless block matching algorithms based on successive candidate...
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