Dataset de contenidos musicales de video, basado en emociones

Agile access to content by reducing navigation time by the multimedia content catalogs is one of the challenges of the video on demand service (VoD), which it is the result of the increased amount of content in current networks. In this article, we describe the conformation process of a musical video content dataset. Such dataset was used for the design and implementation of a VoD service, which aims to improve access to content through the musical classification of emotions. So, in this paper, we present the adaptation of a classification model of emotions taking into account the arousal-valence model. Furthermore, we describe the development of a Java tool for classifying content, which was used in the conformation of the dataset. Finally, with the purpose of evaluating the dataset built, we show the functional structure of the developed VoD service

• Autores: Solarte Moncayo, Luis Alejandro; Sánchez Barragán, Mauricio; Chanchí Golondrino, Gabriel Elías; Duran Dorado, Diego Fabián; Arciniegas Herrera, José Luis
• Fecha de publicación: 2016
• Institución: Universidad de San Buenaventura
• Repositorio: Repositorio USB
• Idioma: spa
• OAI Identifier: oai:bibliotecadigital.usb.edu.co:10819/6679
• Acceso en línea: http://hdl.handle.net/10819/6679
• Palabra clave: Arousal; Clasificación de contenidos; Dataset; Multimedia; Servicio de VoD; Valence; Producción de video
• License: Atribución-NoComercial-SinDerivadas 2.5 Colombia