Content-Based Audio Retrieval Using Perceptual Hash

Author

Li, Qiong ; Wu, Jing ; He, Xin

Author_Institution

Inf. Countermeasure Tech. Res. Inst., Harbin Inst. of Technol., Harbin

fYear

2008

fDate

15-17 Aug. 2008

Firstpage

791

Lastpage

794

Abstract

In this paper, a two-stage audio retrieval algorithm based on perceptual hash is proposed. In the first stage, the n-gram algorithm is used to index the perceptual hash values and filter the irrelevant candidates. In the second stage, the bit error rate (BER) is computed for exact searching. Experimental results demonstrate the effectiveness of the two-stage coarse-to-fine method with high precision and recall values.

Keywords

audio databases; audio signal processing; content-based retrieval; data structures; database indexing; error statistics; audio database; bit error rate; content-based audio retrieval algorithm; n-gram algorithm; perceptual hash value indexing; Audio databases; Bit error rate; Concrete; Content based retrieval; Filters; Helium; Information retrieval; Robustness; Signal processing algorithms; Spatial databases; audio retrieval; content-based retrieval; perceptual hash;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on

Conference_Location

Harbin

Print_ISBN

978-0-7695-3278-3

Type

conf

DOI

10.1109/IIH-MSP.2008.208

Filename

4604172

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2647499