Method for encoding video, electronic device and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory connected in communication with the at least one processor;
• wherein the memory stores an instruction executable by the at least one processor, and the instruction is executed by the at least one processor to enable the at least one processor to execute:
• obtaining a reference frame that is adjacent to a current frame and has established hierarchical division of an initial Region of Interest (ROI);
• reusing a motion vector generated by the reference frame in a motion compensated temporal filter process to determine an ROI position prediction value of the current frame;
• extracting facial feature points from the current frame, and correcting the ROI position prediction value based on a spatial topological relationship of feature points in the initial ROI;
• configuring differentiated quantization parameters for a main face region, a secondary face region and a background region after correction respectively;
• dynamically allocating a three-region bitrate according to a real-time network bandwidth;
• and
• outputting an encoded frame of the current frame and associated ROI-level metadata;
• wherein the ROI-level metadata comprises:
• boundary coordinates of the main face region, the secondary face region and the background region;
• offset values of quantization parameters corresponding to all regions;
• and bitrate allocation weight values of all regions.

A non-transitory computer-readable storage medium storing a computer instruction thereon, wherein the computer instruction is used to cause a computer to execute:

• obtaining a reference frame that is adjacent to a current frame and has established hierarchical division of an initial Region of Interest (ROI);
• reusing a motion vector generated by the reference frame in a motion compensated temporal filter process to determine an ROI position prediction value of the current frame;
• extracting facial feature points from the current frame, and correcting the ROI position prediction value based on a spatial topological relationship of feature points in the initial ROI;
• configuring differentiated quantization parameters for a main face region, a secondary face region and a background region after correction respectively;
• dynamically allocating a three-region bitrate according to a real-time network bandwidth;
• and
• outputting an encoded frame of the current frame and associated ROI-level metadata;
• wherein the ROI-level metadata comprises:
• boundary coordinates of the main face region, the secondary face region and the background region;
• offset values of quantization parameters corresponding to all regions;
• and bitrate allocation weight values of all regions.