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Memorias de investigación
Artículos en revistas:
DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation
Año:2018
Áreas de investigación
  • Telemática
Datos
Descripción
The wide adoption of multimedia service-capable mobile devices, the availability of better networks with higher bandwidths, and the availability of platforms offering digital content has led to an increasing popularity of multimedia streaming services. However, multimedia streaming services can be subject to different factors that affect the quality perceived by the users, such as service interruptions or quality oscillations due to changing network conditions, particularly in mobile networks. Dynamic Adaptive Streaming over HTTP (DASH), leverages the use of content-distribution networks and the capabilities of the multimedia devices to allow multimedia players to dynamically adapt the quality of the media streaming to the available bandwidth and the device characteristics. While many elements of DASH are standardized, the algorithms providing the dynamic adaptation of the streaming are not. The adaptation is often based on the estimation of the throughput or a buffer control mechanism. In this paper, we present a new throughput estimation adaptation algorithm based on a statistical method named Adaptive Forgetting Factor (AFF). Using this method, the adaptation logic is able to react appropriately to the different conditions of different types of networks. A set of experiments with different traffic profiles show that the proposed algorithm improves video quality performance in both wired and wireless environments.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Multimedia
ISSN
1520-9210
Factor de impacto JCR
3,977
Información de impacto
Datos JCR del año 2017
Volumen
vol. 20
DOI
10.1109/TMM.2017.2764325
Número de revista
no. 5
Desde la página
1224
Hasta la página
1232
Mes
MAYO
Ranking
Q1
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Angel Aguayo Ortuño (UPM)
  • Autor: Luis Bellido Triana (UPM)
  • Autor: Carlos Mariano Lentisco Sanchez (UPM)
  • Autor: M. Encarnacion Pastor Martin (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería de Sistemas Telemáticos
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