Study on viewing completion ratio of video streaming

In this paper, a model for optimizing the encoding of adaptive bitrate video streaming is investigated. To this aim, the relationship between quality, content duration and acceptability measured through the completion ratio are studied. This work is based on intensive subjective testing performed in laboratory environment and shows the importance of stimulus duration in acceptance studies. A model to predict the completion ratio of videos is provided and shows good accuracy. Using this model, it is shown how quality requirements can be derived based on targeted abandonment rate and content duration. This work finds application for the definition of coding condition by video streaming providers when preparing content to be broadcast on their platform allowing to maintain user's engagement.