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 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 computer-implemented method for detecting the presence of web tracking may include identifying an Internet resource that may be retrieved from an initial domain and that may trigger a hypertext transfer protocol request directed to an additional domain that may be different from the initial domain, determining, based on a difference between the initial domain and the additional domain, that the hypertext transfer protocol request may include a third-party hypertext transfer protocol request, identifying a hypertext transfer protocol cookie that may be sent from the additional domain in response to the third-party hypertext transfer protocol request and determining, based on an expiration date of the hypertext transfer protocol cookie and the difference between the initial domain and the additional domain, that the hypertext transfer protocol cookie may include a third-party tracking cookie. Various other methods, systems, and computer-readable media are also disclosed.