This disclosure describes methods, non-transitory computer readable storage media, and systems that apply a blur filter to a digital video stream of a user to a recipient based on blur settings. The disclosed system receives a request to initiate a digital video communication between a first user (e.g., a customer) associated with a first user client device and a second user (e.g., an agent) associated with a second user client device. The disclosed system determines a blur setting (e.g., a degree of blur and an amount of time) associated with the second user indicating to blur a digital video stream from the first user client device at the second user client device. The disclosed system initiates the digital video communication by presenting a blur filter on the digital video stream according to the blur setting for display at the second user client device.

Systems, apparatuses, and methods are described for users to cause replacement of one or more advertisements or other content items. Based on a request to replace a content item, output of the content item may be interrupted. An alternate content item may be output during a time period when a portion of the interrupted content item was scheduled to be output.

Methods and systems are described for condition mitigation. A computing device may display content. The computing device may determine that displaying and/or outputting the content may impact a person with a condition. The computing device may take an action to reduce an impact of the content on the person.

Systems and methods for generating additional content related to a segment of a content item are disclosed. For example, a system receives a manifest of a first content item where the manifest identifies a plurality of segments of the first content item. The manifest comprises additional content associated with a corresponding segment. The system generates for output a first segment of the plurality of segments on a device. The system receives a user selection requesting the presentation of additional content associated with the first segment. In response to receiving the user selection, the system parses the manifest to request data for the additional content associated with the first segment and generates for output the additional content based on the requested data. Subsequent to generating for output the additional content, the system generates for output the next segment on the device.

Provided are a video clipping and model training method, relating to the field of video technologies, and in particular, to the field of short video technologies. The video clipping method includes: acquiring interaction behavior data for an original video file; determining interaction heat at respective time points of the original video file, according to the interaction behavior data; selecting N time points with highest interaction heat, to take the selected time points as interest points of the original video file, where N is a positive integer; and clipping the original video file based on the respective interest points, to obtain N clipped video files. Therefore, high-quality short video files can be generated.

Methods, systems, and computer programs for generating a playlist of media content items without explicit content. A vector space is created that represents explicit and non-explicit tracks in the same playlists created by other users and then tracks are filtered based on cosine distance between the “seed tracks” and all the tracks in the aforementioned playlist. The explicit tracks are filtered out, and tracks are sorted based on the affinity of the user to the artist.

Systems and methods are provided herein for determining whether to adjust volumes of individual audio components in a media asset based on a type of segment of the media asset that is playing back. A media guidance application may determine that a user is playing back a segment of a media asset. The media guidance application may determine a type corresponding to the segment. The media guidance application may parse a plurality of audio components of the media asset that are playing back during the segment. The media guidance application may determine, for each audio component, whether to adjust the volume playing back during the segment based on the type. For each audio component of the plurality of audio components, in response to determining to adjust the volume, the media guidance application may adjust the volume of the audio component playing back during the segment.

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.

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.

To reduce latency in streaming media a playlist requested from a content delivery network may be modified to have modified segmentation. After receiving the playlist from the content delivery network, the location of one or more I-frames in each segment in the playlist may be determined and these locations may be used to generate the modified playlist. The modified playlist may then be sent to a client device. Media segments may be modified in accordance with the modified segmentation of the modified playlist to generate modified media segments that can be sent to the client device.