Abstract: A method for constructing an artificial intelligence (AI) integrated model is provided, including: obtaining a training dataset, an initial graph network model, and a plurality of base models; then iteratively training the initial graph network model by using training data in the training dataset and the plurality of base models, to obtain a graph network model; and then constructing the AI integrated model based on the graph network model and the plurality of base models, where an input of the graph network model is a graph structure consisting of outputs of the plurality of base models. Since the graph network model considers neighboring nodes of each node in the graph structure when processing the graph structure, the graph network model fully considers differences and correlations between the base models when fusing the outputs of the plurality of base models.

Abstract: A method, a system, a terminal and a server for switching from a video live stream to video-on-demand data are provided. The method includes: sending, by a terminal, a video acquisition request for a target video to a server; acquiring, by the server, video data of the target video from a live stream of the target video in response to the video acquisition request, and storing the acquired video data of the target video; sending, by the terminal, a video editing request for the target video to the server; performing, by the server, non-linear editing on the video data of the target video in response to the video editing request; and storing, by the server, the edited video data as video-on-demand data of the target video.