Video data segmentation model training method, video data segmenting method, video data segmentation model training device and video data segmenting device

Abstract

The embodiment of the invention provides a video data segmentation model training method, a video data segmenting method, a video data segmentation model training device and a video data segmenting device. The training method comprises the following steps of performing video feature detection on first video data so as to obtain information about one or more first video feature vectors; training by use of the information about the one or more first video feature vectors, so as to obtain a segmentation result; carrying out segmentation on the first video data by adopting a video data segmentation model, so as to obtain a segmentation result; judging whether the video data segmentation model meets preset verification conditions or not according to the segmentation result; if the video data segmentation model meets the preset verification conditions, outputting the video data segmentation model; if the video data segmentation model does not meet the preset verification conditions, training by use of the information about the one or more first video feature vectors again, so as to obtain the video data segmentation model. According to the embodiment of the invention, different video segmentation models are trained, so that automatic video data segmentation is realized, manual intervention operation is greatly reduced, the segmentation time is greatly reduced and the manpower cost is saved.

Description

technical field [0001] The present invention relates to the technical field of video data processing, in particular to a method for generating a video data segmentation model, a video data segmentation method based on a video data segmentation model, a training device for a video data segmentation model, and a A video data segmentation device based on a video data segmentation model. Background technique [0002] In recent years, with the rapid development of the Internet, the amount of information on the Internet has increased dramatically, including a large amount of video data, such as news videos, variety shows, and so on. [0003] Since many video data are a large whole, which contains multiple paragraphs, for example, a complete news video often includes multiple news clips. [0004] Therefore, it is often necessary to segment the video data to obtain the included paragraphs. [0005] Nowadays, the segmentation of news videos, etc. are all based on manual judgment, t...

AI Technical Summary

Problems solved by technology

[0005] Nowadays, such as the segmentation of news videos, etc. are all based on relying on manual work, that is, manually judging the position of the segmentation, which often requires manual browsing of each frame of the video, which requires a huge workload and consumes a lot of time and labor costs.

[0006] Due to the rapid growth of the number of videos in the network environment, the way of manually segmenting video data is getting higher and higher in terms of time and labor costs, which is unbearable

Images