An empirical comparison of high definition video and regular video in optical flow computation

This paper presents a comparative study of high definition videos and regular videos in the context of optical flow estimation. The hypothesis is that, because of its higher resolution, a high definition video can yield more accurate optical flow data, which is critical for many motion-based researches. The experiments were carried out using videos that captured a wide variety of motions in both natural and indoor settings, which ensures a statistically sound comparison. Analysis through visual examinations and quantitative violation measures indicates that, in general, high definition videos are superior to regular videos, but the presence of fast moving objects could complicate a specific application.