Audio similarity measure based on distance correlation image

Li Chao; Xiong Zhang; Zhu Chengjun

Volume 32 Issue 02

Feb. 2006

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Journal of Beijing University of Aeronautics and Astronautics > 2006 > 32(02): 224-227.

Jin Hongtao, Jiao Zongxia, Li Chenggong, et al. Modeling and characteristics analysis of redundant direct drive servo actuating system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(09): 1059-1062. (in Chinese)

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Li Chao, Xiong Zhang, Zhu Chengjunet al. Audio similarity measure based on distance correlation image[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(02): 224-227. (in Chinese)

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Audio similarity measure based on distance correlation image

School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

Received Date: 17 Jan 2005
Publish Date: 28 Feb 2006

Abstract

Abstract

Similarity measure is one of the keys of content-based audio analysis. Traditionally, statistic methods are used for accomplishing the aim. But it is hard to represent the results in a visual way and it shows very weak relationship with semantic layer. An image segmentation-based method was introduced to partly solve the problem. Features were extracted respectively to form a so-called feature space. The distance correlation images were calculated by comparing the feature vectors. A maximal similar direction was estimated by segmentation on the image to calculate local similarity and global similarity. Experiment was also provided. The method was proved to be suitable for applications like clip searching in digital broadcasting stream.
- audio,
- similarity,
- image segmentation,
- feature extraction

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References

[1] 龚声蓉. 基于内容的图像检索方法研究 . 北京:北京航空航天大学计算机科学与工程系,2001 Gong Shengrong. Research for content-based retrieval methods . Beijing:Dept of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics,2001(in Chinese) [2] Subramanya S, Abdou Y. Segmentation of audio data based on the binary images of the audio samples . In:Proc of Inter Conference on Intelligent Systems . Denver:ISCA, 1999 [3] Foote J. Automatic audio segmentation using a measure of audio novelty . In:Proc of ICME 2000 . NY:IEEE, 2000. 452~455 [4] Erling W, Thom B, Douglas K, et al. Content-based classification, search, and retrieval of audio[J] IEEE Multimedia, 1996, 3(3):27~36 [5] Lu L, Jiang H, Zhang H J. A robust audio classification and segmentation method . In:Proc of the 9th ACM International Conference on Multimedia . Ottawa:ACM, 2001. 203~211 [6] Beth L, Ariel S. A content-based music similarity function . CRL2001/2, 2001 [7] Liu Z, Huang Q. Content-based indexing and retrieval-by-example in audio . In:Proc of IEEE Inter Conf on Multimedia and Expo . NY:IEEE, 2000. 877~880

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Audio similarity measure based on distance correlation image