Subjective Evaluation of Video on Demand Systems Using Different Network Connections

Nowadays, society makes use of new technologies as they appear. Due to this boom, the use of resources via web is increasing notably. In of training and education cases, companies such as universities are offering tele-learning platforms to complement and facilitate the learning process. Some of these called e-learning platforms can have explanatory videos as a resource for training. For the codification of these videos, we have to use parameters which provide a trade-off between the video sizes to be transmitted that optimize bandwidth and video and audio quality. This paper presents a subjective study of the video quality on transmission depending on the types of users’ network access to the video contents and with different ways of viewing the explaining videos, with several different resolutions and for different devices. Finally, we test the explaining videos used in our University for several connections and current devices