Abstract. We apply three different modeling frameworks -- timed automata (Uppaal), colored Petri nets and synchronous data flow -- to model a challenging industrial case study that involves an existing stateof-the-art image processing pipeline. Each of the resulting models is used to derive schedules for multiple concurrent jobs in the presence of limited resources (processing units, memory, USB bandwidth,..). The three models and corresponding analysis results are compared.