Method and apparatus for processing a video

An apparatus for processing a video, comprising:

• at least one processor;
• and
• a memory storing instructions, the instructions when executed by the at least one processor, causing the at least one processor to perform operations, the operations comprising:
• acquiring a to-be-processed video, and divide the video into at least one video segment according to a scene;
• extracting, for a video segment of the at least one video segment, a feature of the video segment;
• inputting the feature and a target video quality into a pre-trained encoding parameter prediction model, to obtain an encoding parameter of the video segment, the encoding parameter prediction model being used to represent a corresponding relationship between the feature of the video segment and the encoding parameter under the target video quality;
• and
• performing an encoding process on the video according to the encoding parameter corresponding to the video segment of the at least one video segment, to generate an encoded video;
• wherein the encoding parameter prediction model is trained and obtained by:
• acquiring a sample video set, and annotating an encoding parameter and a video quality of a sample video in the sample video set;
• extracting, for the sample video in the sample video set, a feature of the sample video, and determining a complexity factor of the sample video according to the feature of the sample video;
• classifying the sample video in the sample video set into at least one category according to the complexity factor;
• and
• performing, for a category of the at least one category, a regression on encoding parameter and the video quality of the sample video belonging to the category, to obtain a relationship curve between the encoding parameter and the video quality.

A non-transitory computer readable medium, storing a computer program, wherein the computer program, when executed by a processor, causes the processor to perform operations, the operations comprising:

• acquiring a to-be-processed video, and dividing the video into at least one video segment according to a scene;
• for a video segment of the at least one video segment, extracting a feature of the video segment;
• inputting the feature and a target video quality into a pre-trained encoding parameter prediction model, to obtain an encoding parameter of the video segment, the encoding parameter prediction model being used to represent a corresponding relationship between the feature of the video segment and the encoding parameter under the target video quality;
• and
• performing an encoding process on the video according to the encoding parameter corresponding to the video segment of the at least one video segment, to generate an encoded video;
• wherein the encoding parameter prediction model is trained and obtained by:
• acquiring a sample video set, and annotating an encoding parameter and a video quality of a sample video in the sample video set;
• extracting, for the sample video in the sample video set, a feature of the sample video, and determining a complexity factor of the sample video according to the feature of the sample video;
• classifying the sample video in the sample video set into at least one category according to the complexity factor;
• and
• performing, for a category of the at least one category, a regression on encoding parameter and video quality of sample video belonging to the category, to obtain a relationship curve between the encoding parameter and the video quality.