A method of computer video synthesis

Abstract

The invention discloses a method of computer video synthesis. The method comprises: receiving a video synthesis request of a user. The method is characterized in that the video synthesis request comprises a video material, an audio material and a material demand determined according to the video synthesis request. The method comprises the following steps: (1) determining a video, then generatingtime domain distribution information for video synthesis according to a determination result, synthesizing each media material through intelligent combination software, and after synthesis, performingnoise reduction on the synthesized video, wherein the noise reduction comprises the following steps: step (1) extracting three continuous frames of images of an input video: a previous frame, a current frame and a next frame. According to the method disclosed in the embodiment of the invention, in the process of synthesizing the video, the picture and the audio, corresponding special effects canbe added at the same time, the time required for video synthesis is shortened, the user experience is improved, the noise component can be better removed, the blocking effect is reduced, the details of the high-frequency part can be reserved, and the subjective visual perception is improved.

Description

technical field [0001] The invention relates to the field of video synthesis methods, in particular to a computer video synthesis method. Background technique [0002] In this information age, people often use mobile terminals such as mobile phones and tablet computers to take videos, pictures or record audio to record the details of work and life. People can also install software with media material editing functions in their computers to synthesize video, pictures, and recorded audio into a dynamic video with sound, and to add various special effects to the synthesized video. [0003] However, in the media material editing software in the prior art, when synthesizing video, pictures and audio and adding special effects, it needs to be carried out separately, that is, first video, picture and audio are synthesized, and then the corresponding video is added to the synthesized video. or add corresponding special effects to the video, picture and audio respectively, and then ...

AI Technical Summary

Problems solved by technology

Typical conversion domain noise reduction algorithms such as Fourier transform filtering and wavelet transform filtering, etc., remove noise and retain useful signals by analyzing and filtering the coefficients after signal transformation, and have a good effect on preserving image edges and details. However, it is difficult to choose the wavelet base, and the application is limited

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