Video processing method and system, picture processing method and system, equipment and medium

Abstract

The invention discloses a video processing method and system, a picture processing method and system, equipment and a medium, and the method comprises the steps: obtaining a video frame of a to-be-processed video, and obtaining to-be-clustered pictures; determining a to-be-clustered picture from the to-be-clustered pictures as a first reference picture, taking other to-be-clustered pictures as first non-reference pictures, generating a clustering label as a current clustering label, and marking the current clustering label for the first reference picture; calculating a first similarity betweeneach first non-reference picture and the first reference picture to obtain a first similarity value of each first non-reference picture, obtaining the first non-reference picture of which the first similarity value is greater than a first similarity threshold, obtaining a to-be-labeled picture, and labeling the current clustering label for the to-be-labeled picture; and obtaining the first reference picture and the to-be-annotated picture to obtain an annotated clustering label picture. By adopting the scheme, a user can quickly obtain the content information required by the user.

Description

technical field [0001] The embodiments of this specification relate to the field of information processing technologies, and in particular, to a video processing method and system, a picture processing method and system, equipment, and media. Background technique [0002] With the advancement of modern information technology, users can browse videos through the Internet anytime, anywhere. However, due to the large number of videos on the Internet or the length of a single video, users need to spend a lot of time manually browsing to determine which videos or which segments in a single video contain the content information they need. [0003] In order to facilitate subsequent browsing and use, users usually take screenshots, clips, excerpts and other manual operations to obtain the content information they need in the video. These manual operations are time-consuming and laborious, and it is difficult to achieve large-scale processing, so that users cannot quickly obtain the...

AI Technical Summary

Problems solved by technology

These artificial operations are time-consuming and laborious, and are difficult to achieve large-scale processing, making it impossible for users to quickly obtain the content information they need

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