Abstract
To solve the problem of query-by-example in multimedia audio data, we analyze the characteristics of wavelet multiresolution, and propose a method for searching audio data using wavelet multiresolution pyramidal algorithm. First, we preprocess 100 audio data files by transforming them into wavelet coefficient files with audio data and query data. And then we search these wavelet coefficient files using the different hierarchy pyramidal algorithms. By comparing our method with the method using wavelet approximate coefficient algorithms, we found that our method is highly efficient and reduces the search time without influencing the retrieval precision.
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