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http://dspace.ucuenca.edu.ec/handle/123456789/33304Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Medina Cartuche, Jose Luis | - |
| dc.contributor.author | Vega Zamora, Oswaldo Francisco | - |
| dc.contributor.author | Mendoza Siguenza, Daniel Emilio | - |
| dc.contributor.author | Saquicela Galarza, Victor Hugo | - |
| dc.contributor.author | Espinoza Mejia, Jorge Mauricio | - |
| dc.date.accessioned | 2019-08-07T15:59:54Z | - |
| dc.date.available | 2019-08-07T15:59:54Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.isbn | 978-153863894-1 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/33304 | - |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/8247498 | - |
| dc.description | 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. | - |
| dc.description.abstract | 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. | - |
| dc.language.iso | es_ES | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.source | IEEE Second Ecuador Technical Chapters Meeting (ETCM) | - |
| dc.subject | Advertising Monitoring | - |
| dc.subject | Audio Fingerprint | - |
| dc.subject | Automatic Content Recognition | - |
| dc.subject | Signal Processing | - |
| dc.title | Audio fingerprint parameterization for multimedia advertising identification | - |
| dc.type | ARTÍCULO DE CONFERENCIA | - |
| dc.description.city | SALINAS | - |
| dc.ucuenca.idautor | 1105045361 | - |
| dc.ucuenca.idautor | 0104380738 | - |
| dc.ucuenca.idautor | 0103901070 | - |
| dc.ucuenca.idautor | 0103599577 | - |
| dc.ucuenca.idautor | 0102778818 | - |
| dc.identifier.doi | 10.1109/ETCM.2017.8247498 | - |
| dc.ucuenca.embargoend | 2050-12-31 | - |
| dc.ucuenca.version | Versión publicada | - |
| dc.ucuenca.embargointerno | 2050-12-31 | - |
| dc.ucuenca.areaconocimientounescoamplio | 06 - Información y Comunicación (TIC) | - |
| dc.ucuenca.afiliacion | Medina, J., Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador | - |
| dc.ucuenca.afiliacion | Vega, O., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | - |
| dc.ucuenca.afiliacion | Mendoza, D., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | - |
| dc.ucuenca.afiliacion | Saquicela, V., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | - |
| dc.ucuenca.afiliacion | Espinoza, J., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador | - |
| dc.ucuenca.volumen | volumen 2017 | - |
| dc.ucuenca.indicebibliografico | SCOPUS | - |
| dc.ucuenca.factorimpacto | null | - |
| dc.ucuenca.numerocitaciones | 0 | - |
| dc.ucuenca.areaconocimientofrascatiamplio | 1. Ciencias Naturales y Exactas | - |
| dc.ucuenca.pais | ECUADOR | - |
| dc.ucuenca.conferencia | 2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 | - |
| dc.ucuenca.areaconocimientofrascatiespecifico | 1.2 Informática y Ciencias de la Información | - |
| dc.ucuenca.areaconocimientofrascatidetallado | 1.2.1 Ciencias de la Computación | - |
| dc.ucuenca.areaconocimientounescoespecifico | 061 - Información y Comunicación (TIC) | - |
| dc.ucuenca.areaconocimientounescodetallado | 0613 - Software y Desarrollo y Análisis de Aplicativos | - |
| dc.ucuenca.fechainicioconferencia | 2017-10-16 | - |
| dc.ucuenca.fechafinconferencia | 2017-10-20 | - |
| dc.ucuenca.organizadorconferencia | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.ucuenca.comiteorganizadorconferencia | General Chair Carlos Monsalve, IEEE Ecuador Section, Technical Program General Chair Francisco Novillo, Escuela Superior Politécnica del Litoral | - |
| dc.ucuenca.urifuente | https://ieeexplore.ieee.org/Xplore/home.jsp | - |
| dc.contributor.ponente | Saquicela Galarza, Victor Hugo | - |
| Appears in Collections: | Artículos | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| documento.pdf Until 2050-12-31 | document | 593.24 kB | Adobe PDF | View/Open Request a copy |
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