Object motion based video key-frame extraction

Cheolhun Jang, Seungyong Lee

Abstract: We propose a novel method to determine the key-frame of a video, which is based on object motions. We extract foreground objects from a video using optical flow and compute the motion frequency score to find the most representative motion. The key-frame is chosen as the frame that contains the most frequent motion.