Systems, methods, and computer program products can provide visual guidance on presenting content on a media surface of a venue. These systems, methods, and computer program products can operate by mapping visual content onto a media surface of the venue and a key feature unique to the visual content and/or the media surface being extracted. Thereafter, these systems, methods, and computer program products can retrieve an experiment metric corresponding to the visual content and/or the media surface and can determine a viewer location metric and/or a media surface metric based on the experiment metric and the key feature. These systems, methods, and computer program products can utilize the viewer location metric and/or the media surface metric to provide a hint of the attribute to a user.

The present disclosure provides an image processing device capable of outputting both an image for humans and an image for artificial intelligence, comprising: a display; a memory for storing at least one image frame for artificial intelligence and multiple basic image frames to be outputted as an image through the display; and a processor which controls the display to, while outputting the basic image frames as an image, output the image frame for artificial intelligence as an image in compliance with a configuration condition, wherein the outputted image includes at least one image frame for artificial intelligence inserted between the basic image frames. In accordance with to the present disclosure, a single display can provide both an image for humans and an image which can be recognized by artificial intelligence, whereby the display can be utilized as a platform for communication with artificial intelligence as well as humans.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

A method, comprising receiving live video streams from different live streaming platforms, presenting the live video streams to users in video tiles in an aggregated live streaming platform, and allowing the users to navigate and select among the video tiles of the aggregated live streaming platform to view and interact with the live video streams.

A method, comprising receiving live video streams from different live streaming platforms, presenting the live video streams to users in video tiles in an aggregated live streaming platform, and allowing the users to navigate and select among the video tiles of the aggregated live streaming platform to view and interact with the live video streams.

The present disclosure is generally directed to media systems configured to receive and play media assets. In particular, methods and systems are provided for improved media asset session continuity across such media systems. Systems and methods are provided herein for continuing media asset sessions across media systems or media devices in a way designed to minimize manual intervention, for example, by determining a likelihood (e.g., a probability) of a user requesting media session continuation of an ongoing media asset or a segment thereof across two or more devices.

A streaming media device includes a printed circuit board hosting components configured to access internet data. An audio/visual connector is linked to the printed circuit board, wherein the audio/visual connector is adapted for connection to an audio/visual device, wherein the audio/visual connector is adapted to operate with a first audio/visual interface having sufficient power to fully operate the printed circuit board and a second audio/visual interface having insufficient power to fully operate the printed circuit board. A power connector is linked to the printed circuit board, wherein the power connector selectively receives power based on the audio/visual connector utilizing one of the first audio/visual interface and the second audio/visual interface.

A streaming media device includes a printed circuit board hosting components configured to access internet data. An audio/visual connector is linked to the printed circuit board, wherein the audio/visual connector is adapted for connection to an audio/visual device, wherein the audio/visual connector is adapted to operate with a first audio/visual interface having sufficient power to fully operate the printed circuit board and a second audio/visual interface having insufficient power to fully operate the printed circuit board. A power connector is linked to the printed circuit board, wherein the power connector selectively receives power based on the audio/visual connector utilizing one of the first audio/visual interface and the second audio/visual interface.

A Trustonic DRM Plug-in is provided that can be downloaded and operate in conjunction with an Android framework. The solution also includes a PVP with the downloadable DRM. The system includes components that can be added by Trustonic based on the Android 4.3 Framework in addition to current t-base 300 that can be used by any DRM vendor. The system enables the DRM to be downloaded in the field since all DRMs could use the standard API services of the Android 4.3 OS. With a codec component employed like H.264 or HEVC that can use the PVP with the downloaded DRM component, the Android video player can use the component to satisfy HD content security requirements.