Open AccessRobust audio hashing scheme based on cochleagram and cross recurrence analysis
Author(s) -
Chen N.,
Xiao H.D.,
Zhu J.,
Lin J.J.,
Wang Y.,
Yuan W.H.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2012.3812
Subject(s) - hash function , computer science , artificial intelligence , computational complexity theory , pattern recognition (psychology) , scheme (mathematics) , matching (statistics) , dimension (graph theory) , similarity (geometry) , non negative matrix factorization , identification (biology) , matrix decomposition , image (mathematics) , speech recognition , algorithm , mathematics , statistics , mathematical analysis , eigenvalues and eigenvectors , physics , computer security , quantum mechanics , pure mathematics , botany , biology
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.