Abstract: A method for capturing a video in a User Equipment (UE) includes capturing a plurality of first frames of a video of a scene in a first mode upon detecting an initiation of a video capture; analyzing the captured plurality of first frames in the first mode to determine at least one second mode from a plurality of second modes for the video capture; capturing a plurality of second frames of the video in accordance with the at least one second mode from the plurality of second modes; recording metadata associated with the captured plurality of second frames in the second mode; applying the metadata associated with the plurality of second frames onto the plurality of first frames to generate a plurality of modified first frames; and merging the plurality of modified first frames with the plurality of second frames to generate an output video.

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.