Abstract: The present invention sets forth a technique for performing virtual object placement in a video sequence. The technique includes identifying a planar surface depicted in an input video sequence and selecting a virtual object included in an object library. The technique also includes generating, for a combination of the planar surface and the virtual object, a suitability metric associated with the combination, wherein the suitability metric is based at least on a semantic compatibility between the virtual object and the planar surface. The technique further includes generating, via one or more machine learning models, a modified video sequence based on the suitability metric, where the modified video sequence depicts the virtual object placed on the planar surface.

Abstract: One embodiment of the present invention sets forth a technique for performing estimation of scene parameters associated with a two-dimensional (2D) input scene. technique includes identifying, based on the input scene, one or more line segments included in the input scene and generating one or more vanishing points associated with the input scene based on the one or more line segments. The technique also includes estimating, based on the one or more vanishing points, one or more scene parameters associated with the scene and inserting a world object into the input scene based on the one or more scene parameters.

Abstract: One embodiment of the present invention sets forth a technique for estimating a real-world size of an object included in an input scene. The technique includes identifying one or more depictions of human faces included in a two-dimensional input scene and generating one or more bounding boxes associated with the input scene, where each bounding box represents a head size associated with a different one of the one or more depictions of human faces. The technique also includes calculating a relative depth value for each of one or more pixels included in the input scene. The technique further includes calculating an average relative head size based on the one or more bounding boxes and relative depth values associated with the one or more pixels and generating a depth scale based on the average relative head size and a known real-world dimension of an average human head.

Abstract: Systems, devices, and methods are provided for depth-guided structure from motion. A system may obtain a plurality of image frames from a digital content item that corresponds to a scene and determine, based at least in part on a correspondence search, a set of 2-D keypoints for the plurality of image frames. A depth estimator may be used to determine a plurality of dense depth map for the plurality of image frames. The set of 2-D keypoints and the plurality of dense depth maps may be used to determine a corresponding set of depth priors. Initialization and/or depth-regularized optimization may be performed using the keypoints and depth priors.

Abstract: A method for an audiovisual receiver to request an audiovisual transmitter to reset a communication link includes requesting the reset when the audiovisual receiver determines that the communication link is unlocked. The communication is determined to be unlocked when the active geometry of successive audiovisual frames transmitted from the transmitter to the receiver is determined by the receiver to be inconsistent. The communication is also determined to be unlocked when the interval between control bits of the successive audiovisual frames is inconsistent. When one or both of the inconsistencies is determined, the receiver sets an error bit in a register of the receiver that is accessible by the transmitter to determine from the receiver that the communication link is unlocked.

Abstract: Techniques are disclosed for detecting an uncovered portion of a body of a person in a frame of video content. In an example, a first machine learning model of a computing system may output a first score for the frame based on a map that identifies a region of the frame associated with an uncovered body part type. Depending on a value of the first score, a second machine learning model that includes a neural network architecture may further analyze the frame to output a second score. The first score and second score may be merged to produce a third score for the frame. A plurality of scores may be determined, respectively, for frames of the video content, and a maximum score may be selected. The video content may be selected for presentation on a display for further evaluation based on the maximum score.

Abstract: Systems, devices, and methods are provided for depth guided structure from motion. A system may obtain a plurality of image frames from a digital content item that corresponds to a scene and determine, based at least in part on a correspondence search, a set of 2-D keypoints for the plurality of image frames. A depth estimator may be used to determine a plurality of dense depth map for the plurality of image frames. The set of 2-D keypoints and the plurality of dense depth maps may be used to determine a corresponding set of depth priors. Initialization and/or depth-regularized optimization may be performed using the keypoints and depth priors.

Abstract: A system can be utilized to retrieve media content and rating schemas, to determine maturity ratings for media content. The media content can be utilized to determine segments of data as building blocks associated with mature content. The building blocks can be mapped to content descriptors and rating levels associated with the rating schemas. The building blocks can be compared the media content to identify portions of the media content that have characteristics represented by the building blocks. The building blocks representing the characteristics in the portions of the media content can be utilized to select content descriptors and rating levels associated with the media content. The selected content descriptor and selected rating levels can be utilized to control how, and/or whether, the media content is made available for output to the consumers.

Abstract: Techniques for a computer-implemented service for virtual product placement in video frames are described. According to some embodiments, a computer-implemented method includes receiving, at a virtual product placement service, a request to place a two-dimensional image of a virtual product into a video, identifying, by a machine learning model of the virtual product placement service, a surface depicted in the video for insertion of the two-dimensional image of the virtual product, inserting, by the virtual product placement service, of the two-dimensional image of the virtual product into one or more frames of the video onto the surface to generate a video including the virtual product, and transmitting the video including the virtual product to a viewer device or a storage location.

Abstract: Disclosed are various embodiments for seamless insertion of modified media content. In one embodiment, a modified portion of video content is received. The modified portion has a start cue point and an end cue point that are set relative to a modification to the video content to indicate respectively when the modification approximately begins and ends compared to the video content. A video coding associated with the video content is identified. The start cue point and/or the end cue point are dynamically adjusted to align the modified portion with the video content based at least in part on the video coding.

Abstract: Techniques are disclosed for detecting an uncovered portion of a body of a person in a frame of video content. In an example, a first machine learning model of a computing system may output a first score for the frame based on a map that identifies a region of the frame associated with an uncovered body part type. Depending on a value of the first score, a second machine learning model that includes a neural network architecture may further analyze the frame to output a second score. The first score and second score may be merged to produce a third score for the frame. A plurality of scores may be determined, respectively, for frames of the video content, and a maximum score may be selected. The video content may be selected for presentation on a display for further evaluation based on the maximum score.

Abstract: A method for isolating at least one conductive via from a surrounding glass substrate is provided. A support layer is formed over at least one surface of the glass substrate. Thereafter, the glass substrate is removed. As a result, the at least one conductive via can be analyzed without interference from the glass substrate.

Abstract: Systems and methods for treating unwashed fruit with fruit bloom that provide a first ultraviolet (UV) energy with one or more flashes using a first set of one or more flash lamps to a first surface of each of a plurality of blueberries and provide a second UV energy with one or more flashes using a second set of one or more flash lamps to a second surface of each of the plurality of blueberries. The system determines a fruit bloom level associated with the plurality of blueberries after provision of the first and second UV energies and determines an adjustment to a parameter of at least one of the first and second UV energies based on the fruit bloom level. The system provides UV energy with the adjusted parameter to a subsequent set of blueberries to remove microorganisms from the blueberries while retaining fruit bloom.

Abstract: A method of determining a presence of a leak in a wall of a production tubing string includes positioning an electrical submersible pump is positioned at the string's downhole end. Based on measurements from a pressure sensor positioned at a downhole location at a discharge end of the electrical submersible pump, it is determined that a discharge pressure has decreased over a specified time period. Based on measurements from a pressure sensor within a wellhead of the well, it is determined that a pressure within the production tubing string at the surface has decreased over the specified time period. Based on measurements from a flow-rate sensor at an uphole end of the production tubing string, it is determined the flow rate has decreased relative to a calculated expected flow rate. Based on a pressure integrity test initiated in response to these determinations, the presence of the leak is determined.

Abstract: Techniques are described for automating virtual placements in video content.

Abstract: Techniques are disclosed for detecting a type of prurient activity shown by a portion of video content. In an example, a machine learning model of a computer system may receive a second portion of video content, the machine learning model including a neural network that is trained to analyze a temporal dimension of the second portion. The machine learning model determines a score indicating a likelihood that the video content shows the type of prurient activity based in part on applying a three-dimensional filter to the second portion of the video content. The computer system then generates a video clip that includes at least the portion of the video content showing the type of prurient activity based on the score, and provides the video clip for display.

Abstract: A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.

Abstract: A method of determining a presence of a leak in a wall of a production tubing string includes positioning an electrical submersible pump is positioned at the string's downhole end. Based on measurements from a pressure sensor positioned at a downhole location at a discharge end of the electrical submersible pump, it is determined that a discharge pressure has decreased over a specified time period. Based on measurements from a pressure sensor within a wellhead of the well, it is determined that a pressure within the production tubing string at the surface has decreased over the specified time period. Based on measurements from a flow-rate sensor at an uphole end of the production tubing string, it is determined the flow rate has decreased relative to a calculated expected flow rate. Based on a pressure integrity test initiated in response to these determinations, the presence of the leak is determined.

Abstract: Systems are disclosed for providing ultraviolet (UV) energy to items on a processing surface. The system includes a lamp positioned over the processing surface to provide UV energy to the processing surface and a reflector cell positioned to cause UV energy emitted from the lamp in a direction away from the processing surface to be reflected toward the processing surface. The system includes the reflector cell having a reflector cap positioned above the lamp and a shroud extending downwardly from the reflector cap toward the conveyor wherein the shroud has a vertical dimension, a longitudinal dimension, and a horizontal dimension along the direction of the conveyor such that the horizontal dimension and the longitudinal dimension define a treatment area on the conveyor. The lamp is configured to deliver energy to the treatment area such that the delivered energy to the processing surface is substantially uniform over the treatment area.

Abstract: Techniques are described for automating virtual placements in video content.