In this paper, an automatic commercial monitoring system using audio fingerprinting is proposed. The goal of the commercial monitoring system is to identify the title and the exact duration of commercials in real-time. To achieve this, only the audio is considered. The audio is easy to handle in real-time and can provide high accuracy for commercial identification. More precisely, the spectral subband centroids are extracted from an audio part of a commercial and indexed using the K-D tree algorithm. To detect aired commercials robustly, a four-step verification method using the indexed tree of the commercials is proposed. Experimental results show that the proposed system is robust against degradations during the real broadcasting and recording process and thus can fulfill the commercial monitoring satisfactorily.

Authors: Jang, Dalwon; Jin, Minho; Lee, Jun Seok; Lee, Seungjae; Lee, Sunil; Seo, Jin S.; Yoo, Chang D.
Affiliations: ETRI; KAIST(See document for exact affiliation information.)
AES Conference: 29th International Conference: Audio for Mobile and Handheld Devices (September 2006)
Paper Number: 3-2
Publication Date: September 1, 2006 Import into BibTeX
Subject: Audio for Mobile & Handheld Devices
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=13862

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