Abstract: Systems, methods, and articles for using an ensemble model to predict a number of impressions that media content programs will receive at a future time. The ensemble model is comprised of a plurality of machine learning models trained based on static and dynamic features obtained from historical impression data and media content program attributes. Static and dynamic features extracted from attributes of a media content program are applied to the ensemble model to generate a prediction of the number of impressions that the media content program will receive at a future time.

Abstract: Systems and methods for providing targeted content in streaming content online that takes into account content, including advertising content, delivered in a corresponding linear broadcast over a defined period of time (e.g., one day, one week). A broadcast content management system is provided that generates a multicast log that corresponds to a broadcast log, and sends the multicast log to a streaming content management system. The streaming content management system utilizes information in the multicast log to select advertisement content to be served to media player systems (e.g., video players).

Abstract: Systems, methods, and articles for assigning content, such as advertisements, to similar content breaks, such as advertisement placement opportunities, across multiple content providers. The systems disclosed herein automatically identify similar advertisement placement opportunities, such as advertisement placement opportunities occurring at the same time, across a plurality of media content providers, and assign an indicated advertisement spot to as many of the identified advertisement placement opportunities as possible. This is achieved by re-assigning advertisement spots which are already assigned to a slot in one of the advertisement placement opportunities to another slot in order to allow the indicated advertisement spot to be assigned to the slot.

Abstract: Systems and methods for providing an advertisement marketplace where buyers and sellers can trade linear mediacast advertisement inventory programmatically at local, national, and/or worldwide levels. The marketplace system may include a seller-controlled marketplace system which connects sellers with buyers and offers revenue management tools for optimizing yields across direct and programmatic channels. The advertisement inventory is bought and sold as canonical inventory units which group similar but discrete advertisement slots together. The marketplace system may include a real-time bidding (RTB) adapter through which digital advertising buyers may place bids for such inventory units using standard protocols utilized in digital RTB systems.

Abstract: Techniques for identifying content displayed by a content presentation system associated with a physical environment, detecting a gesture of a user located within the physical environment, and storing information associated with the gesture in relation to the displayed content are disclosed.

Abstract: Systems, methods, and articles for optimizing the placement of content, such as advertisements, within content breaks. The systems disclosed herein automatically identify the optimal allocation of content within breaks included in advertisement placement opportunities. This is achieved by scoring placed advertisements and determining whether a prospective advertisement can be placed within a break. The system may score the placed advertisements based on rules provided by a media content provider and multiple buyers.

Abstract: Systems and methods for providing an advertisement marketplace where buyers and sellers can trade mediacast advertisement inventory programmatically at local, national, and/or worldwide levels. The marketplace system may include a seller-controlled marketplace system which connects sellers with buyers and offers revenue management tools for optimizing yields across direct and programmatic channels. The advertisement inventory is bought and sold as canonical inventory units which group similar but discrete advertisement slots together. The marketplace system may include a seller side platform (SSP) for sellers through which sellers can access demand across multiple sales channels and can make advertisement inventory available and accept or reject bids based on marketplace demand.

Abstract: Systems and methods for providing an advertisement platform where buyers and sellers can trade advertisement inventory programmatically at local, national, and/or worldwide levels. The advertisement platform server system may include an advertiser facing interface which permits advertisers to generate a request for orders (RFO) for an advertisement campaign which spans multiple advertisement channels. The RFO may be automatically provided to numerous media content providers, which may place committed orders which are to be autonomously accepted upon satisfaction of at least one condition of the RFO, such as a minimum budget. Once the committed orders are accepted, the advertisements may be routed to a traffic management system for publishing.

Abstract: Mediacast video content detection systems and methods that analyze the image content data of mediacast source data flows that include a variety of replaceable video content segments and a variety of non-replaceable video content segments to detect one or more characteristics of the video content segments. Detection regions may be utilized to detect visual elements in the video content segments that provide information regarding one or more properties of the video content segments, such as program type, start times, end times, video content provider, title, and the like. Replacement video content segments may replace video content segments determined to be replaceable. A buffering scheme may be employed to inherently adjust asynchronicity between a broadcast or Webcast and a mediacast. Actual insertion of replacement video content segments may occur upstream of a content consumer device or at the content consumer device.

Abstract: Systems, methods and articles for providing optimized scheduling of a log of spots to be delivered to consumers. The optimized scheduling allows content providers to autonomously satisfy contracts and increase revenue. An audience delivery optimizer system receives an initial log, generates an optimized log, and returns the optimized log so that content can be delivered to consumers according to the optimized log. The audience delivery optimizer system may use historical ratings data and may implement an algorithm to accurately project future delivery. The audience delivery optimizer system may evaluate and optimize a log that spans a particular period of time, such as a day, a week, a month, etc. The audience delivery optimizer system may evaluate over-performing contracts and under-performing contracts and may then optimize the placement of spots based on such evaluations. The audience delivery optimizer system may track liability or other metrics over determined periods (e.g., quarterly).

Abstract: Systems and methods for content and program type detection, including identification of true boundaries between content segments. A broadcast provider sends a broadcast as an encoded stream. During a switch between content types, an automation system sends identifying metadata indicative of an approximate boundary between content types. A mediacast generation system receives the encoded stream of content and metadata, processes the metadata, time corrects the metadata, and slices the content on the exact boundary where the content change occurs. The mediacast generation system decodes an audio stream directly into Waveform Audio File Format (WAVE) while using an envelope follower to measure amplitude. When the system detects a metadata marker, an analyzer may look inside a buffered time window. The WAVE data may be analyzed to look for a period most likely to be the true boundary or split point between content segments. The content may then be split up on the new true boundary.