Abstract: A computer-implemented method may include: receiving, by a first computer server, content provider data and content item data; identifying a plurality of profile elements by applying machine learning techniques to the received content provider data and content item data; calculating a first plurality of profile element scores for the content provider in each of the plurality of profile elements and a second plurality of profile element scores for the plurality of content items in each of the plurality of profile elements; determining, by utilizing one or more distance algorithms, profile element vector distances between the first plurality of profile element scores for the content provider and the plurality of second profile element scores for the plurality of content items; ranking the plurality of content items based on the determined profile element vector distances; and generating an interactive graphical user interface (GUI) displaying a plurality of radar graphs.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: Systems and methods create new viewership estimates to drive linear ad schedule optimizations. The systems use machine learning techniques to predict granular-level television viewership metrics for any consumer segment measurable at a national level. The systems provide capabilities beyond merely estimating and forecasting television viewership for age- and gender-based demographic segments. The systems accurately estimate viewership for any consumer segment, including behavioral, demographic, and other segmentation techniques and provide reliable viewership predictions. The systems model viewership by training an ensemble of machine learning models using historical consumer segments data and TV viewership data.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: A computer-implemented method may include: receiving, by a first computer server, content provider data and content item data; identifying a plurality of profile elements by applying machine learning techniques to the received content provider data and content item data; calculating a first plurality of profile element scores for the content provider in each of the plurality of profile elements and a second plurality of profile element scores for the plurality of content items in each of the plurality of profile elements; determining, by utilizing one or more distance algorithms, profile element vector distances between the first plurality of profile element scores for the content provider and the plurality of second profile element scores for the plurality of content items; ranking the plurality of content items based on the determined profile element vector distances; and generating an interactive graphical user interface (GUI) displaying a plurality of radar graphs.

Abstract: The invention includes systems and methods to provide a non-intrusive 360 view without a camera at the viewpoint. The invention processes video feeds from an array of cameras to track an object in the video feeds and generates an immersive media from the video feeds. The system identifies a primary object and tracks the primary object with an array of mounted sets of at least two cameras. Each of the sets including a camera directed at the object and another camera directed at a background of the object. The system then stitches the video feeds to generate the immersive media.

Abstract: The invention includes systems and methods to provide a non-intrusive 360 view without a camera at the viewpoint. The invention processes video feeds from an array of cameras to track an object in the video feeds and generates an immersive media from the video feeds. The system identifies a primary object and tracks the primary object with an array of mounted sets of at least two cameras. Each of the sets including a camera directed at the object and another camera directed at a background of the object. The system then stitches the video feeds to generate the immersive media.

Abstract: The invention relates to image processing systems, methods, and storage media for recognizing a scene type. The invention performs dynamic content analysis to extract features from an image and creates labels that include a text-based description of the items and the environment of the image. The invention then trains multiple predictive models and determines characterization labels for the image or scene. The invention can create multi-label classifications as well as multi-class classifiers. The text-based labels created by the invention extend generic classification labels into a domain-specific manner of defining and naming groups of images. The characterizing labels can be tagged to the image as metadata for further organization and consumption of the images or scenes.

Abstract: Aspects of the present invention include methods and associated apparatuses that enhance a digital content experience. The methods and associated apparatuses may receive a selection of a video to view and determine a variety of content related to the selected video. The related content may be presented to a viewer which the video is playing.

Abstract: A central asset registry and associated satellite registries tie Digital Asset Management (DAM) repositories and satellite repositories into a unified enterprise system. The system removes rights and asset relationship tracking from the DAMs and the satellites by gathering asset metadata tags and capturing digital asset rights and relationships between assets to improve speed, scalability, and flexibility in analyzing and traversing networks of rights and relationships of digital assets. The central asset registry and the satellite registries use a pluggable architecture and track and store multi-dimensional relationships as an asset hierarchy. The asset hierarchy and rights model depicts rights and relationship data between the assets and provides a flexible array of asset types and properties for addition of new assets, new asset types, and new rights without re-factoring the other data, nodes, and edges. The system uses asset metadata to create edge relationships between the assets.

Abstract: Apparatus and methods for segmenting television audience data are disclosed. The methods include receiving program level viewing data for one or more individuals. The methods also include creating one or more segments for the one or more individuals based upon the program level viewing data. The methods further include combining the one or more segments into one or more groups by applying a grouping function and performing analysis on the one or more groups, and generating reports based upon the analysis.

Abstract: Methods, apparatuses, and computer program products are disclosed for determining a plurality of parameters of a shim file to define a format of at least one media content input, creating a file based program master based on the shim file, and providing the created file based program master to a user for creating and delivering the at least one media content input.

Abstract: Apparatus and methods for segmenting television audience data are disclosed. The methods include receiving program level viewing data for one or more individuals. The methods also include creating one or more segments for the one or more individuals based upon the program level viewing data. The methods further include combining the one or more segments into one or more groups by applying a grouping function and performing analysis on the one or more groups, and generating reports based upon the analysis.

Abstract: Aspects of the present invention include methods and associated apparatuses that enhance a digital content experience. The methods and associated apparatuses may receive a selection of a video to view and determine a variety of content related to the selected video. The related content may be presented to a viewer which the video is playing.

Abstract: Certain aspects of the present disclosure relate to methods and systems for previewing a recording. In one aspect, the methods and systems are configured to display a video recording/stream in a first viewing window on a display, receive a selection of a time within the video recording/stream at which to preview a portion of the video recording/stream, display a second viewing window on the display, and display the preview of the portion of the video recording/stream that corresponds to the selection within the second viewing window.

Abstract: Aspects of the present invention include methods and associated apparatuses that enhance a digital content experience. The methods and associated apparatuses may receive a selection of a video to view and determine a variety of content related to the selected video. The related content may be presented to a viewer while the video is playing.

Abstract: Apparatus and methods for segmenting television audience data are disclosed. The methods include receiving program level viewing data for one or more individuals. The methods also include creating one or more segments for the one or more individuals based upon the program level viewing data. The methods further include combining the one or more segments into one or more groups by applying a grouping function and performing analysis on the one or more groups, and generating reports based upon the analysis.

Abstract: Apparatus and methods for segmenting television audience data are disclosed. The methods include receiving program level viewing data for one or more individuals. The methods also include creating one or more segments for the one or more individuals based upon the program level viewing data. The methods further include combining the one or more segments into one or more groups by applying a grouping function and performing analysis on the one or more groups, and generating reports based upon the analysis.

Abstract: Certain aspects of the present disclosure relate to methods and systems for previewing a recording. In one aspect, the methods and systems are configured to display a video recording/stream in a first viewing window on a display, receive a selection of a time within the video recording/stream at which to preview a portion of the video recording/stream, display a second viewing window on the display, and display the preview of the portion of the video recording/stream that corresponds to the selection within the second viewing window.