Provided is a method for training a content moderation mode. The method includes extracting part of image data of a sample video file as sample image data; positioning a time point of the sample image data in the sample video file in the case that the sample image data contains offensive content; extracting salient image region data from the image data around the time point; and training the content moderation model based on the image region data and the sample image data.

Various embodiments provide a system and methods for generating geographical models, determining geographical locations of set-top boxes using the geographical models, and modifying behavior of the set-top boxes based on their geographical locations. The set-top boxes determine their own geographical locations, regardless of whether the set-top boxes are capable of transmitting data to a content provider or include specialized equipment, such as a global positioning system, for determining geographical location.

Online sharing of media containing inappropriate-content (e.g., explicit or otherwise inappropriate content) There is provided a method for controlling or preventing dissemination of explicit images or other content that may be flagged as inappropriate. The method comprises identifying and preventing display of flagged content on a user device, the user device having an image capture component and a display component. The method comprises: providing a screen projection of at least a first image frame captured by the image capture component to the display component, analysing the screen projection to detect the presence of flagged content, and interrupting the provision of the screen projection if flagged content is detected.

An example method includes training a machine learning algorithm to detect a granular level of tags associated with a media content, receiving a request to play a user selected media content, applying the machine learning algorithm that is trained to the user selected media content to identify at least one tag of the granular level of tags associated with the user selected media content, generating a notification that reports the at least one tag and a number of occurrences of the at least one tag in the user selected media content, and transmitting the notification to an endpoint device of a user that sent the request for the user selected media content to display the notification.

A method and apparatus for deep content tagging. A media device receives one or more first frames of a content item, where the one or more first frames spans a duration of a scene in the content item. The media device detects one or more objects or features in each of the first frames using a neural network model and identifies one or more first genres associated with the first frames based at least in part on the detected objects or features in each of the first frames. The media device further controls playback of the content item based at least in part on the identified first genres.

An example method includes receiving a selection of a media content, applying customized parental control rules associated with a user to the media content, providing a notification to apply a parental control associated with the customized parental control rules to the media content, receiving a confirmation to apply the parental control, and controlling the media content in accordance with the parental control that is applied.

Techniques are disclosed for detecting a type of prurient activity shown by a portion of video content. In an example, a machine learning model of a computer system may receive a second portion of video content, the machine learning model including a neural network that is trained to analyze a temporal dimension of the second portion. The machine learning model determines a score indicating a likelihood that the video content shows the type of prurient activity based in part on applying a three-dimensional filter to the second portion of the video content. The computer system then generates a video clip that includes at least the portion of the video content showing the type of prurient activity based on the score, and provides the video clip for display.

An example method can comprise receiving content for presentation at a user device. The content can comprise a plurality of sections, and each section can comprise a video portion and an audio portion. The user device can also receive content metadata regarding one or more features of the content, where the features of the content comprise one or more candidate sections of the content for modification. The user device can apply one or more rules to the received content based on the content metadata to modify one or more of the audio portion and the video portion of at least one section of the content, creating modified content, and can cause presentation of the modified content on a display device.

Embodiments of a language learning system and method for implementing or assisting in self-study for improving listening fluency in a target language are disclosed. Such embodiments may simultaneously present the same piece of content in an auditory presentation and a corresponding visual presentation of a transcript of the auditory presentation, where the two presentations are adapted to work in tandem to increase the effectiveness of language learning for users.

Systems and methods for generating a notification when activity exceeds an authorization level are provided. A determination is made as to whether content currently being presented to a first user exceeds an authorization level associated with the first user. In response to determining that the content exceeds the authorization level, the content being presented is monitored to determine whether the content meets a criterion. An amount of time the content being presented meets the criterion is measured. In response to determining that the amount of time exceeds a threshold, a communication is transmitted to a second user indicating that the content currently being presented to the first user exceeds the authorization level.