  Robotic datasets are important for scientific benchmarking and developing
algorithms, for example for Simultaneous Localization and Mapping (SLAM).
Modern robotic datasets feature video data of high resolution and high
framerates. Storing and sharing those datasets becomes thus very costly,
especially if more than one camera is used for the datasets. It is thus
essential to store this video data in a compressed format. This paper
investigates the use of modern video encoders for robotic datasets. We provide
a software that can replay mp4 videos within ROS 1 and ROS 2 frameworks,
supporting the synchronized playback in simulated time. Furthermore, the paper
evaluates different encoders and their settings to find optimal configurations
in terms of resulting size, quality and encoding time. Through this work we
show that it is possible to store and share even highest quality video datasets
within reasonable storage constraints.
