With the rising amount of gaze behavior analysis, where participants get tracked watching video stimuli, the amount of corresponding gaze data records increases, too. Unfortunately, in most cases, these data are collected in separate files in custom-made or proprietary data formats. Thus these data are hard to access even for experts, and effectively inaccessible for non-experts. Expensive or custom-made software is necessary for the data analysis. By promoting the use of existing multimedia container formats for distributing and archiving eye tracking and gaze data bundled with the stimuli media, we define an exchange format that can be interpreted by standard multimedia players as well as streamed via the Internet. We converted several gaze data sets into our format, demonstrating the feasability of our approach and allowing to visualize these data with standard multimedia players. We also introduce two plugins for one of these players, allowing for further visual analytics. We discuss the benefit of gaze data in a multimedia containers and explain possible visual analytics approaches based on our implementations, converted datasets, and first user interviews.