Abstract: A method for detecting a private video may include estimating a low (e.g., minimum) resolution for performing analysis of a plurality of frames of a video. The method may include reducing a first resolution associated with the plurality of frames to the low (e.g., minimum) resolution. The method may include detecting a presence of at least one indicator for private information in one or more frames amongst the plurality of frames upon analyzing the plurality of frames at the low (e.g., minimum) resolution. The method may include detecting a presence of the private information in the video upon analyzing the one or more frames comprising the at least one indicator at a second resolution in response to detecting the presence of the at least one indicator at the low (e.g., minimum) resolution. The method includes classifying the video as the private video in response to detecting the presence of the private information in the video at the second resolution.

Abstract: Embodiments herein provide a method for managing private content by an electronic device (100). The method includes: displaying content on a screen of the electronic device (100), wherein the content is stored in a non-secure folder of the electronic device (100) and extracting a feature(s) of the displayed content to categorize the displayed content using a machine learning (ML) model. Further, the method includes categorizing the displayed content into the private content or public content based on globally objectionable private content and user-specific objectionable private content. Further, the method includes displaying a recommendation on the screen of the electronic device (100) for transferring the displayed content into a secure folder of the electronic device (100), detecting an event to transfer the private content into the secure folder of the electronic device (100), and automatically transferring the private content from the non-secure folder to the secure folder of the electronic device (100).