Videos are made up of a series of still images, called frames, played in rapid succession. For instance, a video with a frame rate of 30 frames per second (fps) has 30 images displayed every second. Frame interpolation analyzes the motion between two consecutive frames and creates new “in-between” frames to increase the frame rate. For example, a 30 fps video can be interpolated to 60 fps by generating extra frames.Advanced interpolation methods use algorithms or AI to predict and render these new frames, ensuring the motion looks natural. This is often referred to as motion smoothing or motion interpolation.

Frame interpolation is widely used in TVs and streaming to enhance the smoothness of movies and sports, often marketed as motion enhancement. In animation and video editing, it fills gaps between keyframes for fluid movement, while in gaming and virtual reality, it boosts responsiveness and reduces motion blur for immersive experiences. Although it improves video quality by reducing judder and enhancing smoothness, poorly executed interpolation can create unnatural motion artifacts, such as the soap opera effect. When implemented correctly, it significantly enhances the viewing experience.