Method and device for transcoding video
AssigneeWangsu Science & Technology Co., Ltd.
InventorAnjie LIU
Life of this patent
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Abstract
The present disclosure is related to video processing technologies and discloses a method and a device for transcoding a video. The method includes: reconstructing an existing semantic segmentation model based on a processing layer supported by a TensorRT engine; loading a reconstructed semantic segmentation model into the TensorRT engine to generate a TensorRT acceleration model; performing semantic segmentation on a video frame image through the TensorRT acceleration model to generate a multi-level ROI of the video frame image; using different transcoding rates to transcode the multi-level ROI and other regions of the video frame image respectively.
Claims20
A method for transcoding a video, comprising:
- reconstructing an existing semantic segmentation model based on a processing layer supported by a TensorRT engine;
- loading a reconstructed semantic segmentation model into the TensorRT engine to generate a TensorRT acceleration model;
- performing semantic segmentation on a video frame image through the TensorRT acceleration model to generate a multi-level ROI of the video frame image;
- and
- using different transcoding rates to transcode the multi-level ROI and other regions of the video frame image respectively.
A background server, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set which, when loaded and executed by the processor, causes the processor to perform a method for transcoding a video;
- wherein the method comprises:
- reconstructing an existing semantic segmentation model based on a processing layer supported by a TensorRT engine;
- loading a reconstructed semantic segmentation model into the TensorRT engine to generate a TensorRT acceleration model;
- performing semantic segmentation on a video frame image through the TensorRT acceleration model to generate a multi-level ROI of the video frame image;
- and
- using different transcoding rates to transcode the multi-level ROI and other regions of the video frame image respectively.
A computer readable storage medium storing at least one instruction, at least one program, a code set or an instruction set, when loaded and executed by a processor, causes the processor to perform a method for transcoding a video;
- wherein the method comprises:
- reconstructing an existing semantic segmentation model based on a processing layer supported by a TensorRT engine;
- loading a reconstructed semantic segmentation model into the TensorRT engine to generate a TensorRT acceleration model;
- performing semantic segmentation on a video frame image through the TensorRT acceleration model to generate a multi-level ROI of the video frame image;
- and
- using different transcoding rates to transcode the multi-level ROI and other regions of the video frame image respectively.
Dependencies are inferred from the claim text.