Lu Fangbo

TL;DR: This work proposes a no-reference video quality assessment method, aiming to achieve high-generalization capability in cross-content, -resolution and -frame rate quality prediction, and proposes a pyramid temporal aggregation module by involving the short-term and long-term memory to aggregate the frame-level quality.

TL;DR: In this article, the authors proposed an image processing method and device, equipment and a storage medium, which comprises the steps: obtaining a plurality of sample images, each sampleimage comprising a target moving object, and the positions of the target moving objects in each sample image being different.

TL;DR: In this article, a method for determining an image noise level and a server for determining the noise level of a to-be-processed image is presented. But the method is not suitable for the detection of noise in images.

TL;DR: In this paper, a video processing method consisting of acquiring an original video, adjusting a quality influence parameter of the original video to obtain a target video corresponding to the original one, the video quality of the target video being lower than that of original video was analyzed, wherein the quality influence parameters were at least two among a noise parameter, a brightness parameter and a definition parameter.

TL;DR: In this paper, the authors proposed an image data transmission method, system and device, electronic equipment and a storage medium, which relates to the technical field of information processing, and consists of carrying out down-sampling on a to-be-processed image at a server, inputting the image into a pre-trained super-resolution model for super resolution recovery, calculating residual error information according to the image after super resolution, and sending the image and the residual information to a client so as to save the bandwidth.