An audio file processing method is provided for an electronic device. The method includes extracting at least one audio segment from a first audio file, recognizing at least one to-be-replaced audio segment representing a target role from the at least one audio segment, and determining time frame information of each to-be-replaced audio segment in the first audio file. The method also includes obtaining to-be-dubbed audio data for each to-be-replaced audio segment, and replacing data in the to-be-replaced audio segment with the to-be-dubbed audio data according to the time frame information, to obtain a second audio file. The at least one to-be-replaced audio segment is divided from the at least one audio segment based on a structure and a word count in a sentence corresponding to each to-be-replaced audio segment.

A method for generating a video can include: acquiring a profile of a video template, the profile being configured to describe one or more reference materials of the video template and an animated special effect corresponding to each of the one or more reference materials; acquiring the one or more reference materials based on the profile; acquiring a target material; acquiring at least one replaced reference material by replacing at least one of the one or more reference materials with the target material; and generating a target video with the animated special effect by rendering the one or more replaced reference material based on the profile.

A method for generating a video can include: acquiring a profile of a video template, the profile being configured to describe one or more reference materials of the video template and an animated special effect corresponding to each of the one or more reference materials; acquiring the one or more reference materials based on the profile; acquiring a target material; acquiring at least one replaced reference material by replacing at least one of the one or more reference materials with the target material; and generating a target video with the animated special effect by rendering the one or more replaced reference material based on the profile.

Systems and methods disclosed herein include a method implemented by a computing system, the method comprising: receiving tracking data associated with a tracked event and executing an automated video processing procedure including: (i) initiating one or more live video feeds of the tracked events; (ii) receiving a first live video feed of a first portion of the tracked event; (iii) selecting one or more segments of the received first live video feed for further processing; (iv) receiving a second live video feed of a second portion of the tracked event; (v) selecting one or more segments of the received second live video feed for further processing; (vi) modifying the selected one or more segments to improve performance of the automated video processing procedure; and (vii) compiling the modified one or more segments into a first video of the tracked event.

Systems and methods disclosed herein include a method implemented by a computing system, the method comprising: receiving tracking data associated with a tracked event and executing an automated video processing procedure including: (i) initiating one or more live video feeds of the tracked events; (ii) receiving a first live video feed of a first portion of the tracked event; (iii) selecting one or more segments of the received first live video feed for further processing; (iv) receiving a second live video feed of a second portion of the tracked event; (v) selecting one or more segments of the received second live video feed for further processing; (vi) modifying the selected one or more segments to improve performance of the automated video processing procedure; and (vii) compiling the modified one or more segments into a first video of the tracked event.

A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

A method includes receiving video segments from a transcoder of a media device. The video segments are associated with multimedia content. The method further includes detecting, during a delay associated with the multimedia content and using an artificial intelligence (AI) technique, a particular representation in at least one of the video segments. The method further includes generating metadata associated with the particular representation and sending the metadata to a multimedia player to enable the multimedia player to modify playback of the multimedia content based on the metadata.

A method includes receiving video segments from a transcoder of a media device. The video segments are associated with multimedia content. The method further includes detecting, during a delay associated with the multimedia content and using an artificial intelligence (AI) technique, a particular representation in at least one of the video segments. The method further includes generating metadata associated with the particular representation and sending the metadata to a multimedia player to enable the multimedia player to modify playback of the multimedia content based on the metadata.

Embodiments of the present application disclose a method and apparatus for determining an object adding mode, an electronic device and a medium. A specific implementation of the method includes: obtaining a target video and a to-be-added object set to be added to a target video; determining time periods corresponding to storyboards of the target video; determining a presentation period of a to-be-added object in the to-be-added object set in the target video based on the time periods corresponding to the storyboards; generating object adding indication information based on the determined presentation period, where the object adding indication information includes time prompt information used to indicate the presentation period of the to-be-added object in the to-be-added object set in the target video. According to this implementation, automatic selection of time for adding the to-be-added object to the target video is realized.

This disclosure provides a video generation method, a video generation apparatus, an electronic device, a storage medium and a program product, and relates to the field of artificial intelligence technology, and in particular to the field of computer vision technology and deep learning technology. A specific implementation includes: obtaining document content information of a document; extracting, from the document content information, populating information for multiple scenes in a preset video template; populating the populating information for the multiple scenes into corresponding scenes in the preset video template, respectively, to obtain image information of the multiple scenes; generating audio information of the multiple scenes according to the populating information for the multiple scenes; generating a video of the document based on the image information and audio information of the multiple scenes.