Video keyframe extracting method and video keyframe extracting system

Abstract

The invention discloses a video keyframe extracting method and a video keyframe extracting system. The method comprises the following steps of reading video data which consists of a plurality of picture frames; extracting candidate keyframes from the video data to obtain a candidate keyframe set; classifying the candidate keyframes in the candidate keyframe set to obtain at least two clustering sets; and extracting the keyframe from the clustering sets. By the mode, the video keyframe extracting method and the video keyframe extracting system have global superiority, the computing speed is high, and actual application demands are met.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a video key frame extraction method and system. Background technique [0002] Video refers to the technology of capturing, recording, processing, storing, transmitting and reproducing a series of static images in the form of electrical signals. The video data is composed of multiple picture frames, and the multiple picture frames are played in a preset order and at a preset speed to form a video. [0003] With the development of the Internet, video data has exploded, and how to quickly find interesting content from massive video data has become a challenge. Such as figure 1 As shown in FIG. 1 , picture frames that make up a video usually include key frames, which are image frames used to describe a shot, and usually one or several key frames can represent the main content of a shot. Retrieving through key frames can greatly reduce the amount of retrieved data. [0004...

AI Technical Summary

Problems solved by technology

[0005] To sum up, different key frame extraction algorithms in the prior art are aimed at different application scenarios, and there are various defects in the application, which cannot meet the actual application requirements

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