Abstract: A computer implemented method comprising accessing representations for a plurality of corresponding media content items, each media content item having at least one corresponding representation, the representations being organized in an order in one or more sets of the representations, each representation comprising at least one of metadata for a corresponding media content item and an image for a corresponding media content item, each representation being for display to a user to enable the user to select to access the corresponding media content item, each set of representations being displayable as a scrollable list; using the order of the representations to determine display locations of the representations in the scrollable list in a display arrangement; comparing similarity of content of representations within a display range; and where representations are determined to have greater than a predetermined similarity, changing the order of at least one of the representations determined to have greater than

Abstract: Systems and techniques are described herein for annotating media content. For example, a process can include obtaining media content and generate, use one or more machine learning models, a metadata file for at least a portion of the media content. The metadata file includes one or more metadata descriptions. The process can include generating a text description of the media content based on the one or more metadata descriptions of the metadata file. The process can include annotating the media content use the text description.

Abstract: Systems and techniques are described herein for processing media content. For example, a process can include obtaining a first media frame and a second media frame. The process can include generating, using a first change detector, a first tag indicating a change above a first change threshold has occurred in the second media frame relative to the first media frame. The process can further include generating, using a machine learning model, a second tag indicating that media content of the second media frame is associated with a particular type of media content. The process can further include determining, based the first tag and the second tag, that the media content of the second media frame is associated with the particular type of media content.

Abstract: Systems and techniques are described herein for processing media content. For example, a process can include obtaining a first media frame and a second media frame. The process can include generating, using a first change detector, a first tag indicating a change above a first change threshold has occurred in the second media frame relative to the first media frame. The process can further include generating, using a machine learning model, a second tag indicating that media content of the second media frame is associated with a particular type of media content. The process can further include determining, based the first tag and the second tag, that the media content of the second media frame is associated with the particular type of media content.

Abstract: Systems and techniques are described herein for annotating media content. For example, a process can include obtaining media content and generate, use one or more machine learning models, a metadata file for at least a portion of the media content. The metadata file includes one or more metadata descriptions. The process can include generating a text description of the media content based on the one or more metadata descriptions of the metadata file. The process can include annotating the media content use the text description.