Abstract: The present disclosure provides techniques of generating videos. The techniques comprises displaying a material editing area based on a script structure, wherein the script structure comprises a plurality of script nodes, the plurality of script nodes correspond to a plurality of content paragraphs of a video to be generated, the material editing area comprises a plurality of sub-areas, and each of the plurality of sub-areas corresponds to a script node; and generating the video based on a plurality of multimedia materials displayed in the plurality of sub-areas, wherein a multimedia material in each of the plurality of sub-areas is selected based on the corresponding script node.

Abstract: The present disclosure provides a video processing method, device, apparatus, and a storage medium. The method includes: displaying a material editing area for video editing based on a first script structure, the material editing area divided into a plurality of sub-areas; displaying a target multimedia material according to a timeline in a target sub-area of the plurality of sub-areas, the target multimedia material being a multimedia material selected for a target script node that is a script node corresponding to the target sub-area in the first script structure; and generating the target video based on multimedia material displayed in the material editing area. Based on a material editing area including a plurality of sub-areas respectively corresponding to script nodes, embodiments of the present disclosure can implement video editing, and diversify the video editing methods to further meet various people's needs for video editing.

Abstract: A method, device, storage medium, and computer program product of video processing are provided in embodiments of the disclosure, by obtaining an initial video segment; inputting the initial video segment into a machine learning model and determining a speed variation rate of the initial video segment based on an output result of the machine learning model; wherein the machine learning model has been trained based on a sample video segment labeled with the speed variation rate; and varying a speed of the initial video segment based on the speed variation rate to obtain a target video segment. Embodiments of the present disclosure apply artificial intelligence to determine the speed variation rate of an initial video segment by a machine learning model to reduce the dependence on the user's editing experience, increase the density of the video information, and increase the number of overall playing of the released video.

Abstract: The present disclosure provides a template recommendation method and apparatus, a device, and a storage medium. The method comprises: first, obtaining a feature of a multimedia material to be processed; then, determining a similarity between the feature corresponding to said multimedia material and a feature corresponding to a candidate editing template; and in response to determining that the similarity satisfies a preset matching condition, determining the candidate editing template as a target editing template corresponding to said multimedia material.

Abstract: The present disclosure provides a video processing method, device, apparatus, and a storage medium. The method includes: displaying a material editing area for video editing based on a first script structure, the material editing area divided into a plurality of sub-areas; displaying a target multimedia material according to a timeline in a target sub-area of the plurality of sub-areas, the target multimedia material being a multimedia material selected for a target script node that is a script node corresponding to the target sub-area in the first script structure; and generating the target video based on multimedia material displayed in the material editing area. Based on a material editing area including a plurality of sub-areas respectively corresponding to script nodes, embodiments of the present disclosure can implement video editing, and diversify the video editing methods to further meet various people's needs for video editing.