Abstract: An encoding method includes capturing an original screen video to be encoded, the original screen video including frames of screen images, reading image feature parameters of the frames of screen images in the original screen video, determining video encoding parameters for the original screen video according to the image feature parameters, acquiring a screen display resolution of a screen sharing object, and encoding the original screen video according to the video encoding parameters and with reference to the screen display resolution of the screen sharing object.

Abstract: A method for assessing image/video quality includes obtaining a sample, and calculating a first approximate value approximating a subjective quality value of the sample by using an online model based on parameters of the sample. The online model is implemented by a server. The method further includes assessing quality of the video or the image of the sample based on the first approximate value. The online model is obtained based on an offline model, and the offline model is obtained by using k training samples and subjective quality values of the k training samples as a training set. The subjective quality values of the k training samples are obtained in a subjective scoring manner, and the online model is obtained by fitting parameters of the k training samples with reference to approximate values of the k training samples obtained by using the offline model.

Abstract: This application relates to a method and an apparatus for processing encoded data, a computer device, and a storage medium. The method includes: obtaining a to-be-encoded data frame; determining a complexity of the to-be-encoded data frame, the complexity representing at least a spatial texture complexity and a temporal motion intensity; obtaining a real-time encoding bit rate, the real-time encoding bit rate being an encoding bit rate of a previous encoded data frame of the to-be-encoded data frame; and adjusting an encoding parameter according to the real-time encoding bit rate and the complexity of the to-be-encoded data frame. The encoding parameter is adjusted according to the real-time encoding bit rate and the complexity, and different real-time encoding bit rates and complexities may correspond to different encoding parameters. In this way, the encoding parameter is applicable to different scenes, thereby achieving high adaptability.

Abstract: An encoding method and apparatus for screen sharing, a storage medium, and an electronic device. The encoding method includes: capturing an original screen video to be encoded, the original screen video including a plurality of frames of screen images; reading image feature parameters of the plurality of frames of screen images in the original screen video; determining video encoding parameters for the original screen video according to the image feature parameters; acquiring screen display resolution of a screen sharing object; and encoding the original screen video according to the video encoding parameters and with reference to the screen display resolution of the screen sharing object. The technical solution according to the embodiments of the disclosure can increase efficiency of encoding for screen sharing.

Abstract: This application relates to a method and an apparatus for processing encoded data, a computer device, and a storage medium. The method includes: obtaining a to-be-encoded data frame; determining a complexity of the to-be-encoded data frame, the complexity representing at least a spatial texture complexity and a temporal motion intensity; obtaining a real-time encoding bit rate, the real-time encoding bit rate being an encoding bit rate of a previous encoded data frame of the to-be-encoded data frame; and adjusting an encoding parameter according to the real-time encoding bit rate and the complexity of the to-be-encoded data frame. The encoding parameter is adjusted according to the real-time encoding bit rate and the complexity, and different real-time encoding bit rates and complexities may correspond to different encoding parameters. In this way, the encoding parameter is applicable to different scenes, thereby achieving high adaptability.