467 research outputs found
Measuring quality of video of internet protocol television (IPTV)
141 p.La motivación para el desarrollo de esta tesis es la necesidad que existe de monitorizar la calidad de experiencia del vídeo que se proporciona en una red IPTV (Internet Protocol Television). Esta necesidad surge del deseo de los operadores de telecomunicaciones de proporcionar un servicio más satisfactorio a sus clientes y alcanzar mayor penetración en el mercado. Los servicios sólo pueden tener éxito si la calidad de experiencia se garantiza. Las redes IPTV (Television sobre IP) son por naturaleza susceptibles a pérdidas de paquetes de datos que afectan a la calidad del vídeo que recibe el usuario. Entre los factores que contribuyen a la existencia de pérdida de paquetes de datos se encuentran la congestión de red, una planificación de red inadecuada o el fallo de algún equipamiento de la red. La calidad de experiencia de un vídeo se ve afectada por una serie de factores como por ejemplo la resolución, la ausencia de errores en las imágenes, la calidad de la televisión, las expectativas previas del usuario y muchos otros factores que se estudian en esta tesis
Joint Communication and Computational Resource Allocation for QoE-driven Point Cloud Video Streaming
Point cloud video is the most popular representation of hologram, which is
the medium to precedent natural content in VR/AR/MR and is expected to be the
next generation video. Point cloud video system provides users immersive
viewing experience with six degrees of freedom and has wide applications in
many fields such as online education, entertainment. To further enhance these
applications, point cloud video streaming is in critical demand. The inherent
challenges lie in the large size by the necessity of recording the
three-dimensional coordinates besides color information, and the associated
high computation complexity of encoding. To this end, this paper proposes a
communication and computation resource allocation scheme for QoE-driven point
cloud video streaming. In particular, we maximize system resource utilization
by selecting different quantities, transmission forms and quality level tiles
to maximize the quality of experience. Extensive simulations are conducted and
the simulation results show the superior performance over the existing scheme
Optimized Visual Internet of Things in Video Processing for Video Streaming
The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT) for simulating the effect of network congestion on the performance of encrypted static images sent over wireless sensor networks.The simulations are intended for analysing video quality and determining packet drop resilience during video conversations.The assessment of emerging trends in quality measurement, including picture preference, visual attention, and audio visual quality is checked. To appropriately quantify the video quality loss caused by the encoding system, various encoders compress video sequences at various data rates.Simulation results for different QoE metrics with respect to user developed videos have been demonstrated which outperforms the existing metrics
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