Abstract: A method and system for controlling media-content presentation based on user presence and/or user profile. An example method includes a computing system determining a quantity of users present at a media-presentation device, the quantity being at least one. Further, the example method includes, based on the determining, the computing system using the determined quantity of users present at the media-presentation device as a basis to control what media content a media player outputs for presentation by the media-presentation device. For instance, based on the determined quantity of users the computing system could tailor a graphical user interface (GUI) that the media player outputs for presentation by the media-presentation device, such as by tailoring a set of channel options that a channel-selection GUI provides, among other possibilities.

Abstract: In one aspect, a method includes receiving video content comprising a first data portion comprising parameters that control a visual appearance of frames of video content presented by a content-presentation device. The content-presentation device is communicatively coupled to a light unit that is (i) present in a viewing area of the content-presentation device and (ii) configured to provide ambient light in the viewing area. The method also includes extracting, from the received video content, a second data portion, separate from the first data portion, specifying one or more light control parameters that a controller associated with the light unit is configured to interpret as instructions for controlling the light unit. The method also includes transmitting the extracted second data portion to the controller to facilitate the controller controlling the light unit according to the specified one or more light control parameters.

Abstract: This provides locations for mounting controllers and processing components that effectively employ the roof within a frame covered by a cowling so as to avoid exposure to weather and the environment. The roof is also employed to provide a sensor bar that extends across the vehicle width for a distance that does not interfere with normal vehicle function or generate potential overhangs, which can inadvertently engage objects or vehicles. The bar is sufficient in size and shape so as to allow mounting of a plurality of types of sensors on its top surface and/or recessed within front or rear edges. Such sensors can include visual light cameras for machine vison processes and/or LIDAR of various types and cooperage areas/fields of view—some of which can be recessed within a hollow region of the bar. Additional sensors can be mounted on the truck cab and/or chassis, including visual-light cameras and radars.

Abstract: In one aspect, an example method includes (i) obtaining, by a computing system, video data representing video content; (ii) analyzing, by the computing system, the video data to identify an event that is a subject of the video content; (iii) using, by the computing system, the identified event as a basis to select audio content; and (iv) performing, by the computing system, an operation that facilitates editing the video content to include the selected audio content.

Abstract: In one aspect, an example method includes (i) receiving, by a computing system and from an input device associated with the computing system, a command to map a customized gesture with a particular action of a plurality of actions that a media player is configured to perform; (ii) in response to receiving the command, monitoring, by the computing system and using a camera, a viewing environment of the media player to detect performance by a person of the customized gesture; and (iii) in response to detecting performance of the customized gesture: generating, by the computing system, a classification for use by the computing system for detecting the customized gesture, and storing, by the computing system, in memory, mapping data that correlates the detected customized gesture with the particular action.

Abstract: A system and method for operation of an autonomous vehicle (AV) yard truck is provided. A processor facilitates autonomous movement of the AV yard truck, and connection to and disconnection from trailers. A plurality of sensors are interconnected with the processor that sense terrain/objects and assist in automatically connecting/disconnecting trailers. A server, interconnected, wirelessly with the processor, that tracks movement of the truck around and determines locations for trailer connection and disconnection. A door station unlatches/opens rear doors of the trailer when adjacent thereto, securing them in an opened position via clamps, etc. The system computes a height of the trailer, and/or if landing gear of the trailer is on the ground and interoperates with the fifth wheel to change height, and whether docking is safe, allowing a user to take manual control, and optimum charge time(s). Reversing sensors/safety, automated chocking, and intermodal container organization are also provided.

Abstract: In one aspect, an example method includes (i) receiving, from one or more cameras in a viewing environment of a content-presentation device, video of a user performing a fitness exercise in the viewing environment; (ii) using the received video and a skeletal detection model to estimate skeletal movement of the user; (iii) generating a synthetic video representing the user moving according to the estimated skeletal movement; (iv) based on a comparison of the estimated skeletal movement with predefined reference skeletal movement representing desired skeletal movement for the fitness exercise, and while the user is performing the fitness exercise, continually calculating a metric representing a difference between the estimated skeletal movement and the reference skeletal movement; and (v) causing the content-presentation device to concurrently display the generated synthetic video, a reference video representing the reference skeletal movement, and an indication of the metric.

Abstract: In one aspect, an example method includes (i) obtaining, by a computing system, structured data; (ii) generating, by the computing system using a natural language generator, a textual description of the structured data; (iii) transforming, by the computing system using a text-to-speech engine, the textual description of the structured data into synthesized speech; and (iv) generating, by the computing system using the synthesized speech, a synthetic video comprising the synthesized speech.

Abstract: In one aspect, disclosed is an example method for use in connection with a media-presentation device having an associated presentation area, the method including: (i) obtaining presentation area data associated with the presentation area; (ii) determining that the obtained presentation area data satisfies each and every condition of a condition set; (iii) responsive to at least determining that the obtained presentation area data satisfies each and every condition of the condition set, identifying an upcoming media segment insertion point within a media program; and (iv) facilitating the media-presentation device outputting for presentation a media segment starting at the identified media segment insertion point within the media program.

Abstract: In one aspect, an example method includes (i) obtaining a set of user attributes for a user of a content-presentation device; (ii) based on the set of user attributes, obtaining structured data and determining a textual description of the structured data; (iii) transforming, using a text-to-speech engine, the textual description of the structured data into synthesized speech; and (iv) generating, using the synthesized speech and for display by the content-presentation device, a synthetic video of a targeted advertisement comprising the synthesized speech.

Abstract: In one aspect, an example method in connection with a shared content viewing session in which multiple users are receiving and viewing respective instances of the same media content in a synchronized manner is disclosed. The example method includes (i) detecting that each of the multiple users respectively exhibits a threshold extent of physical reaction around the same time; (ii) responsive to the detecting, for each of the multiple users, generating and/or storing respective visual content representing that user's physical reaction; (iii) generating a visual content composition that includes at least the generated and/or stored visual content for each of the multiple users; and (iv) outputting for presentation, the generated visual content composition.

Abstract: In one aspect, an example method includes: (i) a computing system obtaining media content; (ii) the computing system extracting from the obtained media content, audio content; (iii) the computing system using at least the extracted audio content to obtain sentiment data associated with the audio content; (iv) the computing system using the obtained sentiment data as a basis to modify a video content component of the media content, thereby generating a modified version of the media content; and (v) the computing system outputting for presentation the generated modified media content.

Abstract: A method and a system for using crowdsourcing as a basis to predict and respond to emergency impact. An example method includes (i) a computing system receiving emergency-state reporting provided by multiple customer premises in a region, (ii) the computing system determining, based on the received emergency-state reporting provided by the multiple customer premises in the region, that a region-wide emergency situation exists in the region, and (iii) the computing system taking action, in response to the determining, based on the emergency-state reporting provided by the multiple customer premises in the region, that the region-wide emergency situation exists in the region.

Abstract: In one aspect, an example method includes (i) receiving, by a computing system and from an input device associated with the computing system, a command to map a customized gesture with a particular action of a plurality of actions that a media player is configured to perform; (ii) in response to receiving the command, monitoring, by the computing system and using a camera, a viewing environment of the media player to detect performance by a person of the customized gesture; and (iii) in response to detecting performance of the customized gesture: generating, by the computing system, a classification for use by the computing system for detecting the customized gesture, and storing, by the computing system, in memory, mapping data that correlates the detected customized gesture with the particular action.

Abstract: In one aspect, an example method includes (i) receiving, from a content-distribution system, video comprising a watermark; (ii) extracting the watermark from the video; (iii) based on the extracted watermark, determining a content-creation attribute of the video that indicates a process by which the video was created, wherein the determining comprises using the watermark to select the content-creation attribute from among a set of two or more content-creation attributes comprising organically-generated video and synthetically-generated video; and (iv) in response to determining the content-creation attribute of the video, causing a content-presentation device to perform an action.

Abstract: In one aspect, an example method includes (i) obtaining video that depicts an area across multiple frames of the video, wherein the area is part of a scene of the video, and wherein the area is suitable for having an object inserted therein; (ii) detecting the area within the obtained video and determining area characteristic data associated with the detected area; (iii) determining scene attribute data associated with the scene; (iv) using at least the determined area characteristic data and the determined scene attribute data as a basis to select an object from among a set of multiple candidate objects; (v) inserting into the detected area the selected object to generate video that is a modified version of the obtained video; and (vi) outputting for presentation the generated video.

Abstract: In one aspect, an example method includes (i) obtaining a first segment of video content; (ii) outputting for presentation, the obtained first segment; (iii) after outputting for presentation the obtained first segment, causing a user to be prompted for user-input data; (iv) receiving user-input data provided in response to the prompting; (v) using at least the received user-input data to synthetically generate a second segment of the video content, wherein the generated second segment is static, non-interactive content; and (vi) outputting for presentation, the generated second segment.

Abstract: In one aspect, an example method includes (i) estimating, using a skeletal detection model, a pose of an original actor for each of multiple frames of a video; (ii) obtaining, for each of a plurality of the estimated poses, a respective image of a replacement actor; (iii) obtaining replacement speech in the replacement actor's voice that corresponds to speech of the original actor in the video; (iv) generating, using the estimated poses, the images of the replacement actor, and the replacement speech, synthetic frames corresponding to the multiple frames of the video that depict the replacement actor in place of the original actor, with the synthetic frames including facial expressions for the replacement actor that temporally align with the replacement speech; and (iv) combining the synthetic frames and the replacement speech so as to obtain a synthetic video that replaces the original actor with the replacement actor.

Abstract: In one aspect, an example method includes (i) obtaining a set of user attributes for a user of a content-presentation device; (ii) based on the set of user attributes, obtaining structured data and determining a textual description of the structured data; (iii) transforming, using a text-to-speech engine, the textual description of the structured data into synthesized speech; and (iv) generating, using the synthesized speech and for display by the content-presentation device, a synthetic video of a targeted advertisement comprising the synthesized speech.

Abstract: In one aspect, a method includes receiving video content comprising a first data portion comprising parameters that control a visual appearance of frames of video content presented by a content-presentation device. The content-presentation device is communicatively coupled to a light unit that is (i) present in a viewing area of the content-presentation device and (ii) configured to provide ambient light in the viewing area. The method also includes extracting, from the received video content, a second data portion, separate from the first data portion, specifying one or more light control parameters that a controller associated with the light unit is configured to interpret as instructions for controlling the light unit. The method also includes transmitting the extracted second data portion to the controller to facilitate the controller controlling the light unit according to the specified one or more light control parameters.