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A generalized multiple projection axes method for fast encoding of vector quantization

机译:矢量量化快速编码的广义多投影轴方法

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摘要

The encoding process of vector quantization (VQ) is computationally very expensive due to a lot of k-dimensional Euclidean distance computations. In order to speed up VQ's encoding process, it is very effective to use a computationally inexpensive distance estimation first to try to reject a candidate codeword instead of an immediate actual distance computation. If a successful rejection is achieved, the computational burden can be reduced because the actual distance computation becomes unnecessary. A very search-efficient VQ encoding method by using multiple projection axes has already been developed in the previous work, which is a general version of the central axis. In this paper, a further generalized version of this previous work is proposed, which can completely remove the constraints for selecting the projection axis in a diagonally symmetric way as required by the previous work. Meanwhile, a theoretical criterion of how to select an optimal projection axis for a candidate codeword is also given. Furthermore, in order to use the generalized multi projection axes simultaneously, the energy accumulation property in an orthogonal space is integrated. Experimental results confirmed the effectiveness of the proposed method.
机译:由于大量的k维欧几里德距离计算,矢量量化(VQ)的编码过程在计算上非常昂贵。为了加快VQ的编码过程,非常有效的方法是首先使用计算上便宜的距离估计来尝试拒绝候选码字,而不是立即进行实际距离计算。如果获得成功的拒绝,则可以减少计算负担,因为不需要实际距离计算。在以前的工作中已经开发了一种使用多个投影轴的非常有效的VQ编码方法,它是中心轴的通用版本。在本文中,提出了此先前工作的进一步通用版本,该版本可以完全消除先前工作所要求的以对角对称方式选择投影轴的约束。同时,还给出了如何为候选码字选择最佳投影轴的理论标准。此外,为了同时使用广义的多投影轴,对正交空间中的能量累积特性进行了积分。实验结果证实了该方法的有效性。

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