A computer-implemented method for segmenting and recombining video segments of an input video based on prerequisites is disclosed. The computer-implemented method includes classifying video segments of an input video with respective activities associated with the video segments. The computer-implemented method further includes determining one or more prerequisites for performing classified activities associated with video segments of the input video. The computer-implemented method further includes determining respective users which satisfy the one or more determined prerequisites for performing the classified activities associated with the video segments of the input video. The computer-implemented method further includes generating a new video for a user based, at least in part, on merging those video segments in which the user satisfies the one or more determined prerequisites for performing a classified activity associated with a video segment.

A computer-implemented method for segmenting and recombining video segments of an input video based on prerequisites is disclosed. The computer-implemented method includes classifying video segments of an input video with respective activities associated with the video segments. The computer-implemented method further includes determining one or more prerequisites for performing classified activities associated with video segments of the input video. The computer-implemented method further includes determining respective users which satisfy the one or more determined prerequisites for performing the classified activities associated with the video segments of the input video. The computer-implemented method further includes generating a new video for a user based, at least in part, on merging those video segments in which the user satisfies the one or more determined prerequisites for performing a classified activity associated with a video segment.

A method of synchronizing video and audio when recording with a video recording device and an audio recording device configured for wireless data communication with each other including activating a recording at the video recording device, sending an audio recording command from the video recording device to the audio recording device, storing a recorded video data stream in a memory of the video recording device, receiving an audio data stream from the audio recording device at the video recording device and storing in the memory of the video recording device, determining a delay of the stored audio data stream relative to the stored video data stream, and joining the stored audio data stream and the stored video data stream together, taking the determined delay into consideration, in order to provide a recording data stream with synchronized video and audio.

The present disclosure relates to an interactive music player, the interactive music player adapted to allow a user to control and mix a plurality of simultaneously played audio tracks. The present disclosure also relates to a corresponding method and computer program product.

A display apparatus (10) of a display system (100) generates a map of a shot region based on video information, and acquires information on a shooting position of each scene in the video information on the map. Then, when receiving specification of a shooting position on the map through a user's operation, the display apparatus (10) searches for information on a scene in the video information shot at the shooting position using the information on the shooting position, and outputs found information on the scene.

A deep learning-based video editing method can allow for automated editing of a video, reducing or eliminating user input, saving time and labor investments, and thereby improving video editing efficiency. Attribute recognition is performed on an object in a target video using a deep learning model. A target object is selected that satisfies an editing requirement of the target video. A plurality of groups of pictures associated with the target object from the target video are obtained using editing. An edited video corresponding to the target video is generated using the plurality of groups of pictures.

A deep learning-based video editing method can allow for automated editing of a video, reducing or eliminating user input, saving time and labor investments, and thereby improving video editing efficiency. Attribute recognition is performed on an object in a target video using a deep learning model. A target object is selected that satisfies an editing requirement of the target video. A plurality of groups of pictures associated with the target object from the target video are obtained using editing. An edited video corresponding to the target video is generated using the plurality of groups of pictures.

An apparatus is provided. The apparatus includes a communications interface to receive game data from an external data source and to receive video data from a plurality of video sources. The apparatus also includes a memory storage unit to store the game data and the video data. Furthermore, the apparatus includes an aggregator to select a video from the video data, wherein the video is associated with an event in the game data. The apparatus additionally includes a notification engine to generate a notification to be transmitted via the communications interface.

An apparatus is provided. The apparatus includes a communications interface to receive game data from an external data source and to receive video data from a plurality of video sources. The apparatus also includes a memory storage unit to store the game data and the video data. Furthermore, the apparatus includes an aggregator to select a video from the video data, wherein the video is associated with an event in the game data. The apparatus additionally includes a notification engine to generate a notification to be transmitted via the communications interface.

A method to assess user condition for wearable devices using electromagnetic sensors is provided. The method includes receiving a signal from an electromagnetic sensor, the signal being indicative of a health condition of a user of a wearable device, selecting a salient attribute from the signal, and determining, based on the salient attribute, the health condition of the user of the wearable device. A non-transitory, computer-readable medium storing instructions which, when executed by a processor, cause a system to perform the above method, and the system, are also provided.