Video segmentation method, device, equipment and medium
A video segmentation and video technology, applied in the field of information processing, can solve problems such as difficulty for viewers to understand and inaccurate segmentation, and achieve the effect of simplifying the segmentation process and improving the accuracy of segmentation
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Embodiment 1
[0026] figure 1 It is a flowchart of a video segmentation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of dividing a video, especially applicable to the situation of dividing a teaching video. The method can be executed by a video segmentation device, and the video segmentation device can be implemented in software and / or hardware, for example, the video segmentation device can be configured in a computer device. like figure 1 As shown, the method includes:
[0027] S110. Acquire the video to be divided, and determine the correspondence between the knowledge point data and the video frames in the video to be divided.
[0028] In this embodiment, the video to be divided may be an educational teaching video, or a popular science video. After obtaining the video to be segmented, analyze the content of the video to be segmented, extract the subtitle content, voice content and / or text content in the video frame of the ...
Embodiment 2
[0037] figure 2 It is a flowchart of a video segmentation method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the foregoing embodiments. like figure 2 As shown, the method includes:
[0038] S210. Acquire the video to be segmented, input the video to be segmented into a pre-trained video segmentation model, acquire segmented data output by the video segmented model, and determine the interval of video frames corresponding to the knowledge point data according to the segmented data.
[0039] In this embodiment, the video to be segmented is segmented by a machine learning algorithm. Specifically, the video to be segmented is input into the trained video segmentation model, and the segmentation data output by the video segmentation model is obtained. Wherein, the segmentation data output by the video segmentation model may include the knowledge point data contained in the video to be segmented and the corresponding relation...
Embodiment 3
[0051] Figure 3a It is a flow chart of a video segmentation method provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the foregoing embodiments. like Figure 3a As shown, the method includes:
[0052] S310. Acquire the video to be divided, and determine the correspondence between the knowledge point data and the video frames in the video to be divided.
[0053] S320. Segment the video to be segmented according to the corresponding relationship to obtain at least one video segment.
[0054] S330. Determine the association relationship between the video clips according to the association relationship between the knowledge point data, and determine at least one learning path according to the association relationship between the video clips.
[0055] In this embodiment, after the video to be divided is divided, the relationship between the divided video segments is determined according to the relationship between the knowledge poin...
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Abstract
Description
Claims
Application Information
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