Title: Fast codeword search for vector quantization using a multi-stage approach
Abstract: Vector quantization (VQ) is widely used in many high-quality and high-rate data compression applications such as speech coding, audio coding, image coding and video coding. When the size of a VQ codebook is large, the computational complexity for the full codeword search method is a significant problem for many applications. A number of complexity reduction algorithms have been proposed and investigated using such properties of the codebook as the triangle inequality. This paper proposes a new fast VQ search algorithm that is based on a multi-stage structure for searching for the best codeword. Even using only two stages, a significant complexity reduction can be obtained without any loss of quality.
Publication Year: 2002
Publication Date: 2002-11-07
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 5
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