ARTÍCULO DE CONFERENCIA
Audio fingerprint parameterization for multimedia advertising identification
Fecha
2017Registro en:
978-153863894-1
0000-0000
10.1109/ETCM.2017.8247498
Autor
Medina Cartuche, Jose Luis
Vega Zamora, Oswaldo Francisco
Mendoza Siguenza, Daniel Emilio
Saquicela Galarza, Victor Hugo
Espinoza Mejia, Jorge Mauricio
Institución
Resumen
This article follows step by step a general framework for fingerprint extraction in order to develop a system for advertisements' monitoring. The parameterization process uses some spatial and spectral characteristics measured over 600 advertisements that contain various types of sounds. Key factors such as accuracy, process time, and granularity are analyzed together in order to enhance the system performance. At the end, the algorithm shows an accuracy of 99% using three seconds of granularity samples, and also the best compromise between processing time and performance is achieved. This study suggests a set of parameterization steps which could be successfully implemented in other related audio applications. © 2017 IEEE.