NDLI: MDCT-Based Perceptual Hashing for Compressed Audio Content Identification

Content Provider	IEEE Xplore Digital Library
Author	Yuhua Jiao Bian Yang Mingyu Li Xiamu Niu
Copyright Year	2007
Description	Author affiliation: Harbin Inst. of Technol., Harbin (Yuhua Jiao; Bian Yang)
Abstract	In this paper, a perceptual audio hashing method in compressed domain is proposed for content identification, in which MDCT coefficients as the intermediate decoding result are selected for perceptual feature extraction and hash generation. The perceptual feature extraction is based on psychoacoustic model and exhibits good discrimination ability for different audio contents but robustness against common audio signal processing operations. Via feature extraction in the compressed domain, the MDCT-based compressed audios, such as MP3, AAC, etc., could be efficiently identified without complete decoding which facilitates those practical applications with strict requirements of memory and computational complexity, such as online audio retrieval, indexing of massive compressed audio data, audio identification by mobile phone, etc. The algorithm is highly robust against MDCT compression which is widely used in audio coding. Experiments demonstrate the effectiveness of the proposed scheme.
Starting Page	381
Ending Page	384
File Size	262420
Page Count	4
File Format	PDF
ISBN	9781424412747
DOI	10.1109/MMSP.2007.4412896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-01
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Decoding Robustness Psychoacoustic models Signal processing Digital audio players Computational complexity Information retrieval Music information retrieval Indexing
Content Type	Text
Resource Type	Article

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