Abstract: A method of testing one or more bots, each bot being for interacting with one or more human users via a communication service implemented over a network where the bot is to be published to a server and the one or more users access the communication service using a communication client application. The method comprises: storing the one or more bots locally on a user terminal of a testing user being a human tester of the one or more bots, and running a bot testing application locally on said user terminal.

Abstract: A device comprising: an encoder for encoding a video signal representing a video image of a scene captured by a camera, and a controller. The encoder comprises a quantizer for performing a quantization on the video signal as part of said encoding. The controller is configured to receive skeletal tracking information from a skeletal tracking algorithm relating to one or more skeletal features of a user present in the scene, and based thereon to define one or more regions-of-interest within the video image corresponding to one or more bodily areas of the user, and to adapt the quantization to use a finer quantization granularity within the one or more regions-of-interest than outside the one or more regions-of interest.

Abstract: Disclosed is a method of transmitting video via a network and a user device and computer program product configured to implement the method. The method comprises transmitting video of one or more users, received from an image capture device, to at least another user device via the network; receiving information about a communication channel between the user device and the other user device and/or about one or more resources of the user device and/or the other user device; selecting characteristics from a plurality of visual user characteristics based on the received information; and controlling the video based on detection of the selected characteristics to track the selected characteristics.

Abstract: Disclosed is a method of transmitting video via a network and a user device and computer program product configured to implement the method. The method comprises transmitting video of one or more users, received from an image capture device, to at least another user device via the network; receiving information about a communication channel between the user device and the other user device and/or about one or more resources of the user device and/or the other user device; selecting characteristics from a plurality of visual user characteristics based on the received information; and controlling the video based on detection of the selected characteristics to track the selected characteristics.

Abstract: A fast and efficient automated satellite constellation detection process can be implemented at least in part independent of in-band data in the satellite signal. The automated detection process iterates through a set of various predefined transponder settings to detect one or more accessible satellite constellations through each satellite dish connected directly or through a switch to a satellite receiver. The process determines whether the satellite receiver is able to lock onto a satellite signal at each transponder setting. Based on the combinations of which satellite constellations are available at each transponder setting, the process allocates a specific satellite constellation to each satellite dish. In one implementation, channel information can be used to further refine the detection and identification of accessible satellite constellations for each satellite dish.

Abstract: A fast and efficient automated satellite constellation detection process can be implemented at least in part independent of in-band data in the satellite signal. The automated detection process iterates through a set of various predefined transponder settings to detect one or more accessible satellite constellations through each satellite dish connected directly or through a switch to a satellite receiver. The process determines whether the satellite receiver is able to lock onto a satellite signal at each transponder setting. Based on the combinations of which satellite constellations are available at each transponder setting, the process allocates a specific satellite constellation to each satellite dish. In one implementation, channel information can be used to further refine the detection and identification of accessible satellite constellations for each satellite dish.