Modeling VP8/WebM Encoded Video Traces

In this paper, we present our research results in modeling video traces encoded with VP8/WebM codec. Our research results are based on our collection of more than 800 VP8 encoded video traces. We show in this paper that our simplified seasonal ARIMA (SAM) model provides a valid model for WebM encoded video traces regardless of their motion, texture levels, or encoding settings. Additionally, we compare the goodness-of-fit of SAM model against simple autoregressive (AR) and automatic ARIMA modeling methods using both visual and statistical tests. Our results show the validity of SAM model as a VP8 video traces model, and its superiority to the other compared models. We conclude this paper with a discussion of the implications of our findings on related areas of research.