Abstract: This document presents a comprehensive interactive platform for generating content, and for formulating and broadcasting communications pertaining thereto. The content may be generated by a variety of mechanisms, in a multiplicity of forms, and may be related to a number of different activities. For instance, the content to be generated may pertain to a performance of an activity, the activity may be an athletic event, and the format in which the content is collected may be one or more images, such as in the form of a video. In various instances, the video may be annotated with comments from a commentator, for example, where the comments are directed to evaluating the performance.

Abstract: Disclosed is a method by which a relay server connected to a plurality of detection cameras and at least one main camera transmits a sports relay broadcast. In particular, the method comprises: in a first detection area among detection areas respectively corresponding to the plurality of detection cameras, detecting a subject by using a first detection camera corresponding to the first detection area; controlling an image capturing position of the at least one main camera to be directed toward the first detection camera; and transmitting an image captured by the at least one main camera to a terminal.

Abstract: Apparatus and method for mass distribution of content. A system for mass distribution of content includes a media server configured to receive content comprising a real-time broadcast of a live performance. The media server generates a content signal representative of the received content and a multicast network coupled to the media server encrypts the content signal and multiplies it to generate a multicast signal. The multicast signal, transmitted by a multicast network via the data communication network, comprises a plurality of encrypted unicast signals. One or more receivers are coupled to the multicast network via the data communication network and each receives one of the encrypted unicast signals of the multicast signal via the data communication network. Each of the one or more receivers decrypts the received unicast signal and broadcasts the decrypted unicast signal to one or more entertainment pods for consumption.

Abstract: A transmitter is provided. The transmitter includes a bus system including at least two bus lines. Further, the transmitter includes an envelope tracking circuit coupled to the at least two bus lines, and a plurality of power amplifiers. At least a first one of the plurality of power amplifiers, while in active state, is configured to selectively couple its input to the one of the at least two bus lines which is supplied with a supply voltage or a bias signal by the envelope tracking circuit that is based on an envelope of a first baseband signal related to a first radio frequency signal received by the first one of the plurality of power amplifiers for amplification.

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: Training a video decoder system may include masking one of at least two sets of video encoding parameters with invalid values to generate an invalid set. The at least two sets of video encoding parameters are provided to one or more neural networks to train them to predict valid values that correspond to values of the invalid set using an iterative training algorithm. Encoding parameters to encode are determined based on a prediction error of the one or more neural networks. Encoding parameters which are determined to be accurately predicted are dropped from the encoded data. A new video stream is encoded without the dropped encoding parameters.

Abstract: An image communication system includes an image transmission apparatus and an image reception apparatus. The image transmission apparatus includes a transmission-side wireless communication unit configured to transmit image data by radio waves. The image reception apparatus includes a reception-side wireless communication unit configured to receive the image data transmitted by the transmission-side wireless communication unit by radio waves. At least one of the image transmission apparatus and the image reception apparatus includes a radar detection unit configured to execute a detection process on radio waves of radar in a communication channel that has a possibility of being used for image data communication by the transmission-side wireless communication unit and the reception-side wireless communication unit.