Abstract: The disclosed technology includes commercial and residential automation and control (including audio-visual control) devices and systems incorporating contactless remote control. The disclosed technology can include a method of controlling an audio-visual system. The method can include displaying an authorization code on an audio-visual control device. The method can include receiving, at the audio-visual control device and from the remote server, instructions to change a setting of the audio-visual system, the instructions having been received by the remote server from a user device that has been authenticated by the remote server via the authorization code. The method can include outputting, to the audio-visual system, the instructions to change a setting of the audio-visual system and outputting, to the remote server, data indicative of a status of the audio-visual system.

Abstract: A system may selectively deliver interactive portions of a piece of content, based for example on a recipient user's historical tendency to use interactive portions of prior content. Multiple levels of interactivity may be defined for a given piece of content, such as an advertisement, and different users may receive different levels of interactivity based on how much they use interactive features. Some users may receive no interactive features at all, while others may receive the interactive features, and despite the fact that all of the users' devices may be perfectly capable of processing the interactive features for the user. The omission from transmission may conserve bandwidth and transmission resources.

Abstract: A system and method for live video streaming over tactical wireless networks based on distortion estimation using multilayer perceptron neural network (MLP). The system and method can adaptively adjust the parameters of transport and application layers according to wireless network conditions, based on video distortion estimation using MLP neural network. The system includes a video motion and detail estimation block, a redundancy and video bitrate optimizer, a MLP neural network-based video distortion estimator, and video transport blocks, a packet error rate (PER) and bandwidth measurement block.

Abstract: The present technology relates to a reception device. The disclosure includes processing circuitry in the reception device configured to tune to receive a digital broadcasting stream using an Internet Protocol (IP) transmission scheme, perform a filtering process on packets on the digital broadcasting stream to identify signaling packets that include tuning information and setting information for accessing a description of a particular service, extract, from the identified signaling packets during an initial scanning process, the tuning information, store the tuning information extracted during the initial scanning process in a memory, and after the tuning information is stored, perform a tuning operation for a service and control a tuning process executed by the circuitry based on the tuning information stored in the memory.

Abstract: An example method can comprise receiving content for presentation at a user device. The content can comprise a plurality of sections, and each section can comprise a video portion and an audio portion. The user device can also receive content metadata regarding one or more features of the content, where the features of the content comprise one or more candidate sections of the content for modification. The user device can apply one or more rules to the received content based on the content metadata to modify one or more of the audio portion and the video portion of at least one section of the content, creating modified content, and can cause presentation of the modified content on a display device.

Abstract: Embodiments are related to faster provisioning of targeted advertisements at a set-top box (STB) via an Internet Protocol (IP) connection between the STB and a remote server. The disclosed IP-based advertisement distribution system enables targeted advertisements to be pulled from the remote server efficiently, causing the advertisements to be made available within a short time frame (e.g., less than one day from the time when the advertisements are available). The disclosed methods enables a STB to determine whether to retain existing targeted advertisements, discard them, or provision newly-available advertisements. The targeted advertisements can depend on various factors such as demographic information of an owner of the STB, lifestyle information of the owner of the STB, etc.

Abstract: Provided is a method for detecting live streaming jitter, a device, and a medium. An implementation is: calculating, for a live stream transmitted by an edge content delivery network (CDN) node in a CDN, quality information of the live stream based on a transmission frame rate and a viewer count of the live stream; calculating quality information of the edge CDN node based on the quality information of the live stream; and determining, based on the quality information of the edge CDN node, whether jitter occurs at the edge CDN node.

Abstract: Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Abstract: The present technology allows for the management and output of audio and visual media at one or more locations, including the direction and display of static and/or dynamic signage, prerecorded and/or live video content, and audio content from one or more output devices, such as various screens, projectors, or display units, including customized direction of such content to multiple screens or display units at multiple locations. It is thereby possible to customize sights and sound for a desired theme or brand and choose from multiple, customizable content options. In this way, one can manage and schedule digital signage solutions across one or more locations using a single management device. Present operation and operation history of one or more media players can be monitored using the management device.

Abstract: Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as cognition and judgment, of the human brain using a machine learning algorithm such as deep learning and applications thereof. More particularly, provided is a device including a memory storing least one program and a first video, a display, and at least one processor configured to display the first video on at least one portion of the display by executing the at least one program, wherein the at least one program includes instructions for: comparing an aspect ratio of the first video with an aspect ratio of an area in which the first video is to be displayed, generating a second video corresponding to the aspect ratio of the area by using the first video when the aspect ratio of the first video is different from the aspect ratio of the area, and displaying the second video in the area, wherein the generating of the second video is performed by inputting at least one frame of the first video to an AI neural network.

Abstract: Methods and systems for enhancing service compatibility are described. A request for content can be received from a client (e.g., user device). A first resource locator for at least a portion of the content can be encoded with service information. A second resource locator indicating a redirect device can comprise the encoded first resource locator and the service information. The client can request at least the portion of the content from a redirect device using the second resource locator. The redirect device can process the request by decoding the first resource locator and service information and sending the service information to a service. The redirect device can send the first resource locator to the client. The client can request at least the portion of the content from a content device using the first resource locator.

Abstract: The method may include providing one or more content item recommendations by opening a content recommendation session for a selected user, retrieving some user data for the selected user from a first storage resource, obtaining content information concerning content available from content sources, using the user data and the content information to generate a content item recommendation for the user and providing the content item recommendation to the user. The user data for the selected user may be stored at contiguous physical locations at the first storage resource.

Abstract: Systems and methods are presented herein for providing a user with a recommendation for physical activity related to media content. The user may activate a recommendation application setting on a user equipment device. The user may select a media asset for presentation on a user equipment device. The system may analyze data associated with the media asset and perform deep video analysis of the frames of the media asset to identify events in the media asset. The system may identify the content type of each respective segment of the media asset and may identify respective activities performed in each segment by a primary character. The system may determine a respective activity to recommend to the user for reach respective segment of the media asset. The application may then determine a segment is being displayed for a user and generate an overlay representing a physical activity for the user to perform.

Abstract: In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

Abstract: An apparatus, method, and system are provided for binding application data associated with an application with content asset data associated with a content asset. In some embodiments, capacity or bandwidth for each of the application data and the content asset data may be allocated in accordance with one or more profiles. The one or more profiles may include horizontal aspects, vertical aspects, linear and non-linear aspects, and the like. In some embodiments, the binding may take place at a content provider location in accordance with early binding practices, at a central location in accordance with late binding practices, and/or at a user equipment device in accordance with user binding practices.

Abstract: Techniques for targeting media content items for weakly connected devices are described. In some embodiments, a model building method in preparation for approximated personalization is performed at a server. The server uses data from fully connected devices to build a full model, which classifies profiles into clusters and tags targeted content with content rankings. The server also builds device models that approximate the full model. The server then sends the device models to user devices for targeted content selection. In some embodiments, a content selection method for approximated personalization is performed at a user device. The user device receives parameters of a device model trained by a server. The user device then executes the device model using local user data to assign a profile to a cluster and selects targeted content for the profile based on the cluster assignment and the rankings of the targeted content.

Abstract: Methods and apparatus are described for generating compelling preview clips of media presentations. Compelling clips are identified based on weighted combinations of attribute scores determined for indices of a media presentation. One or more of these compelling clips are then provided to a client device for playback.

Abstract: The present disclosure relates to systems and methods for providing subtitle for a video. The video's audio is transcribed to obtain caption text for the video. A first machine-trained model identifies sentences in the caption text. A second model identifies intra-sentence breaks with in the sentences identified using the first machine-trained model. Based on the identified sentences and intra-sentence breaks, one or more words in the caption text are grouped into a clip caption to be displayed for a corresponding clip of the video.

Abstract: Systems and methods are described for generating a super-interface that aggregates content identifiers from different content sources. A super-interface is generated for display. The super-interface comprises a first interface that comprises a first plurality of content items available from a first content source and a second interface that comprises a second plurality of content items available from a second content source. The second content source is different from the first content source. The first interface and the second interface are simultaneously accessible to a first device. A user preference is detected based on a user interaction with the first interface. The second interface is automatically updated to comprise identifiers of a third plurality of content items that are available from the second content source. The third plurality of content items is selected based on the detected user preference from the user interaction with the first interface.

Abstract: An example device for retrieving media data includes a memory configured to store media data; and one or more processors implemented in circuitry and configured to: retrieve data of an addressable resource information (ARI) track of a media presentation, the data of the ARI track describing addressable resources and subsets of a switching set of the media presentation, the switching set comprising a plurality of media tracks including the addressable resources, the ARI track being a single index track of the media presentation, the addressable resources comprising retrievable media data; determine durations and sizes of the addressable resources from the data of the ARI track; determine one or more of the addressable resources to retrieve using the data of the ARI track including the durations and sizes of the addressable resources; retrieve the determined addressable resources; and store the retrieved addressable resources in the memory.