Abstract: Embodiments herein provide a method for detecting a candid moment in an image frame. The method includes: receiving, by an electronic device, image frames; determining, by the electronic device, a candid score of each image frame in the image frames using a Machine Learning (ML) model, wherein the candid score is a quantitative value of candidness present in the image frames; determining, by the electronic device, whether the candid score of the image frame in the image frames meets a threshold candid score; identifying, by the electronic device, that the candid moment is present in the image frame in response to determining that the candid score of the image frame meets the threshold candid score; and displaying, by the electronic device, the image frame comprising the candid moment.

Abstract: Embodiments of the disclosure disclose a method for applying an effect in a video by an electronic device. The method includes: detecting a first object and a second object in an image frame of the video; determining a type of motion of the first object and the second object in video; determining a speed of the motion of the first object and the second object in the video; determining a first effect to be applied to the first object and a second effect to be applied to the second object based on the type of motion of the first object and the second object and the speed of the motion of the first object and the second object; and applying the first effect to the first object and the second effect to the second object.