A voice controlled studio apparatus comprising a presenter interface unit and a producer interface unit, the presenter interface unit and the producer interface unit each adapted to generate commands and each unit comprising a voice input device, the apparatus further comprising a data processing unit adapted to receive commands from the presenter interface and the producer interface, process the commands, parse them to ascertain whether the actions meet at least one pre-determined criterion and then subsequently effect one or more actions based on the commands and the or each pre-determined criterion, and wherein the data processing unit is adapted to prioritise the effecting of actions so that commands generated by the producer interface unit can override the effecting of commands generated by the presenter interface unit, the apparatus further comprising a teleprompt unit adapted to provide a display adapted to be visible by a presenter and adapted to receive actions from a data processing unit and vary the display according to the said actions.

Disclosed in the embodiments of the present disclosure are a video recording method and apparatus, an electronic device, and a storage medium. The method includes: upon receiving an instruction to be recorded, prompting a recording subject that is matched with said instruction, so as to inform a user of the subject information of a video to be recorded; and upon receiving a recording starting instruction, separately performing video recording on the user and a virtual teacher according to a recording order matched with the recording subject, wherein when video recording is performed on the user, response information is determined according to the voice content of the user in the video, and the voice of the virtual teacher expressing the response information is played in a video background voice mode.

A system, method, and/or computer storage medium encoded with a computer program are disclosed for providing an interactive virtual event session for respective pluralities of devices substantially in real-time. A data communication session is provided, to which a plurality of computing devices operated by participants of an event session connect. Respective audio-video feeds including content captured by respective cameras and microphones configured with the plurality of computing devices are received. Moreover, at least some of the content in at least two of the respective audio-video feeds is adjusted, including by executing editing processes. Furthermore, a virtual setting for the event session is provided to each of the plurality of computing devices, and modified to include at least the adjusted content. Changing views of the adjusted content and the virtual setting is provided to each of the plurality of computing devices, using artificial intelligence.

Provided are an imaging device, an imaging method, and an imaging program capable of easily acquiring a slow moving image with good image quality. In one aspect of the present invention, an imaging device includes an optical system, an imaging element, and a processor, and the processor performs detection processing of detecting a movement of a subject based on an image signal output from the imaging element, frame rate control of increasing a frame rate of a moving image output from the imaging element based on the detected movement, exposure control processing of maintaining a rate of an exposure time per frame of the moving image constant according to the increase in the frame rate, and dimming control processing of changing a degree of dimming of the optical system according to the exposure control processing.

A computer-implemented method, a computer system and a computer program product evaluate multimedia quality. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes modifying the current frame so that the quality metric is at or above the threshold in response to determining that the quality metric of the current frame is below a threshold.

A computer-implemented method, a computer system and a computer program product enhance multimedia quality. The method includes receiving a plurality of sequential frames of a scene in a video. The method also includes generating dataframes for current frames and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frames based on the comparison of the dataframes for the reference and current frames. The method also includes determining if the quality metric can be improved by altering the video in response to determining that the quality metric of one of the current frames is below a threshold. Finally, the method includes inserting expansion frames into the video in response to determining that the quality metric can be improved by altering the video.

Disclosed in the embodiments of the present disclosure are a video recording method and apparatus, an electronic device, and a storage medium. The method includes: upon receiving an instruction to be recorded, prompting a recording subject that is matched with said instruction, so as to inform a user of the subject information of a video to be recorded; and upon receiving a recording starting instruction, separately performing video recording on the user and a virtual teacher according to a recording order matched with the recording subject, wherein when video recording is performed on the user, response information is determined according to the voice content of the user in the video, and the voice of the virtual teacher expressing the response information is played in a video background voice mode.

A system, method, and/or computer storage medium encoded with a computer program are disclosed for providing an interactive virtual event session for respective pluralities of devices substantially in real-time. A data communication session is provided, to which a plurality of computing devices operated by participants of an event session connect. Respective audio-video feeds including content captured by respective cameras and microphones configured with the plurality of computing devices are received. Moreover, at least some of the content in at least two of the respective audio-video feeds is adjusted, including by executing editing processes. Furthermore, a virtual setting for the event session is provided to each of the plurality of computing devices, and modified to include at least the adjusted content. Changing views of the adjusted content and the virtual setting is provided to each of the plurality of computing devices, using artificial intelligence.

A computer-implemented method, a computer system and a computer program product improve the quality of multimedia. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes altering an orientation of the display of the current frame in response to determining that the quality metric of the current frame is below a threshold.

A computer-implemented method, a computer system and a computer program product enhance multimedia quality. The method includes receiving a plurality of sequential frames of a scene in a video. The method also includes generating dataframes for current frames and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frames based on the comparison of the dataframes for the reference and current frames. The method also includes determining if the quality metric can be improved by altering the video in response to determining that the quality metric of one of the current frames is below a threshold. Finally, the method includes inserting expansion frames into the video in response to determining that the quality metric can be improved by altering the video.