Method for establishing fixed rate coefficient prediction model and video coding
A fixed bit rate, prediction model technology, applied in the field of video processing, can solve the problem that CRF encoding cannot be quickly and effectively encoded, and achieve the effect of short time and high efficiency
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Embodiment 1
[0126] The video encoding method can be applied to the server, for example: the client uploads the recorded selfie video to the server, and the server adopts the video encoding method in the above-mentioned embodiment to use the fixed bit rate coefficient prediction model for the received video, based on the target bit rate. Select the optimal encoding method for encoding, so that the server can manage the different videos uploaded by each client in a unified manner, so that the optimal bit rate can be selected for the convenience of transmission and storage under the condition of the same image quality.
Embodiment 2
[0128] The video encoding method can also be applied to the client. The client uses the video encoding method in the above embodiment to use the fixed bit rate coefficient prediction model for the locally stored video, and selects the optimal encoding method based on the target bit rate for encoding. In the case of the same image quality, the purpose of selecting the optimal bit rate.
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