Spatial and Temporal Complexity Analysis of 4K Drone Footage

Video encoding nowadays mostly revolves around optimizing and modifying existing encoders. Popular encoders such as H.264 and H.265 have open source implementations, and researchers oftentimes modify only certain parts of the encoder to obtain desired results. In this work, several 4K raw drone videos will be analyzed in regard to spatial and temporal complexity, which could be used for encoder optimization. In the last few years, drones have gained in popularity and their use cases have expanded. Drone racing and filmmaking evolved from being only hobbies, and today there are professional drone racers and filmmakers. Hence, drone video transmission systems must keep pace with industrial demand. It is known that scene complexity affects encoding quality. Specifically, spatial information (SI) and temporal information (TI) can be calculated in various ways and depending on SI and TI score, video bitrate must be increased/decreased in order to sustain the desired quality level.