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

Abstract: Systems and methods for security in power systems are provided. A security-aware distributed control framework for resilient operation of power systems can detect and mitigate different types of attacks that might target power systems. The framework can discover a change in the features of transmitted data from neighbor agents, discard an infected agent, and achieve an updated consensus protocol agreement while satisfying a control system objective.

Abstract: This disclosure describes techniques that relate generally to the collection, processing, storage, and graphical representation of medical imaging data associated with patient care. Medical imaging data may be processed using object recognition algorithms to help determined pertinent medical characteristics. Further, a graphical fusion application may generate a graphical representation of medical data that is based at least in part on a combination of medical imaging data and corresponding interpretation data. The graphical representation may overlay a schematic diagram of a relevant organ system, so as to provide a medical practitioner with a visual, more specifically graphical, indication of the medical imaging data. Interpretation data of pertinent medical characteristics may be generated by an automated analysis of the medical imaging data.

Abstract: Techniques are described for analyzing patient image data relative to stored medical image data. A Registry & Image Data Analytics (RIDA) system is described that is configured to analyze medical image data, generate corresponding metadata, and selectively store the medical image data, and metadata, within a registry & image data repository. The RIDA system may be configured to extract pertinent medical data from medical image data that is related to patient care, medical examinations and/or medical research. In doing so, the RIDA system may infer a medical diagnosis based on an analysis of patient image data. Additionally, the RIDA system may infer the validity of a medical hypothesis based at least in part on an analysis of patient image data. The RIDA system may also generate and store a synthesized expression of a text-based or audio-based user input into patient image data and/or corresponding registry data record.