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.

Methods, systems, and media for selecting video formats for adaptive video streaming are provided. In some embodiments, the method comprises: receiving an indication of a video to be presented on a user device; identifying a group of quality metrics for each of a plurality of segments of the video, wherein each quality metric includes values for a particular segment and for a particular format of a group of available formats for the video; selecting a first format for a first segment of the video; causing the first segment of the video to be presented on the user device; identifying a quality of a network connection between the user device and a server that hosts the video; identifying a second format for a second segment of the video based on the quality of the network connection; determining whether a format of the video is to be changed from the first format to the second format based at least on the group of quality metrics for the second segment of the video; and, in response to determining that the format of the video is to be changed from the first format to the second format, causing the second segment having the second format to be presented by the user device.

Aspects of the subject disclosure may include, for example, applying first data associated with a first content item to a model to generate first classification characteristics, analyzing the first classification characteristics to generate a first marker, wherein the first marker delineates a first location of inventory within the first content item, selecting a first creative to populate a portion of the inventory, and populating, based on the selecting, the portion of the inventory with the first creative. Other embodiments are disclosed.

In some embodiments, a method receives a request for supplemental content to be provided in association with main content. The method selects an instance of supplemental content based on a long-term reward metric and a short-term reward metric. The long-term reward metric is based on feedback from delivery of a plurality of instances of supplemental content and a delivery status for a delivery constraint of one instance of supplemental content. The short-term reward metric is based on feedback from delivery of the one instance of supplemental content. The long-term reward metric is based on feedback from delivery of a plurality of instances of supplemental content and the short-term reward metric is based on feedback from delivery of one instance of supplemental content. The instance of supplemental content is provided to a client device.

Methods, apparatus, systems to determine a conditional probability based on audience member probability distributions for media audience measurement are disclosed. Disclosed example methods for media audience measurement include determining a first audience probability distribution for a first member of a household and determining a second audience probability distribution for a second member of the household. Disclosed example methods also include calculating probabilities for audience combinations of the first member and the second member of the household based on the first audience probability distribution and the second audience probability distribution. Disclosed example methods further include determining a household audience characteristic probability based on the calculated probabilities of the audience combinations of the household. The household audience characteristic indicates likelihoods of different possible audience compositions of the household for a media event.

In some embodiments, a method determines a reward metric based on feedback for an instance of content. A delivery status for a delivery constraint of the instance of content is applied to the reward metric to generate a constrained reward metric. The method uses the constrained reward metric to train a model. The model is used to select from a plurality of instances of content. One of the plurality of instances of content is selected for delivery using the model.

Disclosed herein are various embodiments for providing content searching for people with visual impairments or blindness. An embodiment operates by receiving a command to search multimedia content including both video content and audio content. One or more scene changes, including a first scene change, corresponding to the video content are determined. The search command is executed on the multimedia content. It is detected that the multimedia content has reached the first scene change responsive to the executing the search command. An audio cue t is audibly output responsive to the detection.

Aspects of the subject disclosure may include, for example, applying first data associated with a first content item to a model to generate first classification characteristics, analyzing the first classification characteristics to generate a first marker, wherein the first marker delineates a first location of inventory within the first content item, selecting a first creative to populate a portion of the inventory, and populating, based on the selecting, the portion of the inventory with the first creative. Other embodiments are disclosed.

Provided herein are methods and systems for improved accessibility scoring for content items. A predicted accessibility score may be based on a plurality of multimodal features present within a content item. The plurality of multimodal features may include video features (e.g., based on video/image analysis), audio features (e.g., based on audio analysis), text-based features (e.g., based on closed-captioning analysis), features indicated by metadata (e.g., duration, genre, etc.), a combination thereof, and/or the like. A predicted accessibility score for a content item may indicate how accessible the content item may be for persons who are visually impaired, hearing impaired, cognitively impaired, etc., as well as for persons who desire to view content that requires less visual attention and/or audio attention as the case may be.

Systems and methods are described herein for recommending content restrictions to a user based on chatter in a social network of the user. The system analyzes chatter in the social network to identify a correlation between what is posted by users and the content that the users are posting about. The system stores a mapping between chatter and expected attributes of the content referenced by the chatter. The system will determine whether to block the content when an expected attribute is associated with a content restriction.