Comparative study of methods for reducing dimensionality of MPEG-7 audio signature descriptors
作者: Shingchern D. YouWei-Hwa Chen
作者单位: 1National Taipei University of Technology
2Hon-Hai Precision Industry Co. Ltd
刊名: Multimedia Tools and Applications, 2015, Vol.74 (10), pp.3579-3598
来源数据库: Springer Journal
DOI: 10.1007/s11042-013-1670-y
关键词: MPEG-7 audio signature descriptorPrincipal component analysisHadamard transformHaar transformCDF 9/7 wavelet
英文摘要: Abstract(#br)We study how to reduce the dimensionality of the MPEG-7 audio signature descriptors in this paper. With the aid of the dimension-reduced descriptors, the comparison time for detecting copyrighted audio can be significantly reduced. The studied methods include block average, principal component analysis (PCA), Hadamard transform, Haar transform, and CDF (Cohen-Daubechies-Feauveau) 9/7 wavelet transform. For the latter four methods, we also examine whether different partition methods would affect the accuracy. The simulation results show that different reduction methods should use different partition strategies for best accuracy. In addition, we also compare the computational complexity of these methods. The experimental results show that, except the CDF 9/7 method, the rest...
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影响因子:1.014 (2012)

  • dimensionality 量纲
  • signature 签名
  • reducing 还原
  • audio 听觉的
  • study 学习