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Video editing method, system and device based on scene recognition and storage medium

A technology for scene recognition and video editing, applied in the field of video editing

Active Publication Date: 2020-11-06
CTRIP COMP TECH SHANGHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, few people have studied the method of using deep learning methods to realize automatic video clipping.

Method used

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  • Video editing method, system and device based on scene recognition and storage medium
  • Video editing method, system and device based on scene recognition and storage medium
  • Video editing method, system and device based on scene recognition and storage medium

Examples

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Embodiment Construction

[0055] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals denote the same or similar structures in the drawings, and thus their repeated descriptions will be omitted.

[0056] figure 1 It is a flow chart of the video editing method based on scene recognition of the present invention. Such as figure 1 As shown, the embodiment of the present invention provides a kind of video editing method based on scene identification, comprises the following steps:

[0057] S110. Extract each frame of the original video as a first picture, and generate a first picture set. Each first picture in the fi...

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PUM

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Abstract

The invention provides a video editing method, system and device based on scene recognition and a storage medium. The method comprises the steps of: extracting each frame of an original video as a first picture, generating a first picture set, arranging the first pictures in the first picture set according to the sequence of the pictures in the original video, and forming a frame chain table; cutting the pictures in the first picture set to remove markers to obtain second pictures, and generating a second picture set; sequentially adding a lens label to each second picture in the second picture set according to a lens recognition model, and adding a scene label; editing the second picture set according to a preset target frame number, the target scene label and a preset scene priority sequence, and sequentially outputting third pictures to obtain a third picture set; and synthesizing all the third pictures in the third picture set according to the sequence in the frame chain table, andoutputting the edited video. According to the invention, videos can be automatically clipped in batches, the work of artificial video synthesis is replaced, the operation cost is greatly saved, and the operation efficiency is effectively improved.

Description

technical field [0001] The invention relates to the field of video editing, in particular to a video editing method, system, device and storage medium based on scene recognition. Background technique [0002] Video has become an emerging fast and effective means of "grabbing traffic" for giants in the OTA industry. At present, in the OTA industry, most of them use pictures to display selling points, but the amount of information in pictures is limited and not as much as that in videos. At present, various businesses of the travel platform will generate a large number of OTA videos, including official promotional videos of hotels, poi travel videos, etc. OTA videos have problems such as inconsistent duration and unfocused video content. This will lead to redundant video content, and direct display in the app will lead to unfocused and poor user experience. Therefore, video editing has become the main means to solve this problem. However, the method of using deep learning ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/262H04N5/278H04N21/8358
CPCH04N5/262H04N5/278H04N21/8358
Inventor 范博罗超成丹妮胡泓李巍
Owner CTRIP COMP TECH SHANGHAI
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