Video transcoding method and device based on geometric generation model, medium and equipment
A generative model and video transcoding technology, applied in the field of video transcoding, can solve the problems of GAN mode collapse and convergence, learning multiple modes, generator difficulty, etc., to achieve favorable preservation and transmission, good zoom effect, and rich images realistic effect
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Embodiment 1
[0070] This embodiment discloses a video transcoding method based on a geometric generative model. In this method, the common MPEG-4 standard-definition video is reconstructed through video super-resolution, and then encoded into an H.265 standard ultra-high-definition video, so as to facilitate super-resolution Transmission and storage of high-definition video. Such as figure 1 As shown, the steps of the method include:
[0071] S1. Build a geometric generation model; in this embodiment, such as figure 2 As shown in , the constructed geometric generative model is an improved Encoder-Decoder (encoding-decoding) structure, including an encoding part and a decoding part; where:
[0072] The encoding part includes two down-sampling layers connected in sequence, namely the first down-sampling layer and the second down-sampling layer;
[0073] The decoding part includes the first upsampling layer, the second upsampling layer and the convolution layer; the upsampling processing ...
Embodiment 2
[0124] This embodiment discloses a video transcoding device based on a geometric generation model. The device includes a model building module, a model training module, an acquisition module, a video decoding module, a video reconstruction module, and a video encoding module. The functions of each module are as follows:
[0125] A model building module is used to build a geometric generation model; in this embodiment, the constructed geometric generation model is as follows figure 2 Shown in, the specific structure description sees embodiment 1.
[0126] The model training module is used to train the constructed geometric generation model to obtain a super-resolution reconstruction model.
[0127] Get module for getting MPEG-4 video.
[0128] The video decoding module is used to decode the MPEG-4 video, and save it as continuous still pictures after decoding.
[0129] The video reconstruction module is used for performing super-resolution zoom-in reconstruction on each fram...
Embodiment 3
[0133] This embodiment discloses a storage medium, which stores a program. When the program is executed by a processor, the video transcoding method based on the geometric generation model described in Embodiment 1 is implemented as follows:
[0134] Construct a geometric generation model, and obtain a super-resolution reconstruction model after training;
[0135] get MPEG-4 video;
[0136] Decode MPEG-4 video and save it as continuous still pictures after decoding;
[0137] For each frame of picture obtained after MPEG-4 video decoding, the super-resolution reconstruction model is used to perform super-resolution zoom-in reconstruction of each frame of picture;
[0138] For super-resolution enlarged and reconstructed images, encode them into H.265 format video.
[0139] In this embodiment, reference may be made to the above-mentioned Embodiment 1 for specific implementation of the above-mentioned processes, and details are not repeated here.
[0140] In this embodiment, th...
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