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�������պ����ѧѧ�� 2006, Vol. 32 Issue (02) :224-227    DOI:
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�, ���, ��ɾ�*
�������պ����ѧ �����ѧԺ, ���� 100083
Audio similarity measure based on distance correlation image
Li Chao, Xiong Zhang, Zhu Chengjun*
School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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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.
Keywords�� audio   similarity   image segmentation   feature extraction     
Received 2005-01-17;
About author: �� ��(1974-),��,�Ĵ���ɽ��,��ʦ, licc@buaa.edu.cn.
�, ���, ��ɾ�.���ھ������ͼ����Ƶ�����Զ�������[J]  �������պ����ѧѧ��, 2006,V32(02): 224-227
Li Chao, Xiong Zhang, Zhu Chengjun.Audio similarity measure based on distance correlation image[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2006,V32(02): 224-227
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2006/V32/I02/224
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