文献类型：期刊文献

英文题名：Robust audio hashing scheme based on cochleagram and cross recurrence analysis

作者：Chen, N.[1];Xiao, H. D.[2];Zhu, J.[3];Lin, J. J.[1];Wang, Y.[1];Yuan, W. H.[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Technol, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Sino Us Globe Logist Inst, Shanghai 200030, Peoples R China;[3]Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China

年份：2013

卷号：49

期号：1

起止页码：7

外文期刊名：ELECTRONICS LETTERS

收录：;EI(收录号：20132116344546);WOS:【SCI-EXPANDED(收录号:WOS:000318235200004)】；

基金：This work is supported by the National Natural Science Foundation of China (nos 60903186 and 61271349), the Fundamental Research Funds for the Central Universities (no. WH1214015), the Natural Science Foundation of Shanghai (12ZR1415200), and the China Open Funds of the Shanghai Key Laboratory of Information Security Management Technologies (AGK2012008).

语种：英文

外文关键词：Computer vision - Speech processing

摘要：A robust hashing method based on computer-vision techniques is proposed as an improvement to the existing computer-vision based hashing scheme. The cochleagram of the audio is treated as an image, from which Speeded Up Robust Features are extracted as essential features. Non-negative matrix factorisation is used to reduce the features' dimension. In hashing matching, recurrence quantification analysis is performed on the cross recurrence plot that is constructed from the essentialfeatures of two clips to measure their similarity. Experimental results illustrate that the proposed method exhibits superior performance compared to existing techniques in identification rate (under various content preserving manipulations) and computational complexity.