Video super-resolution method and system for cloud fusion

A super-resolution and video technology, applied in the field of video processing, can solve the problems of excessive memory resource consumption and high calculation delay, and achieve the effects of improving processing speed, alleviating calculation pressure, and optimizing performance

Pending Publication Date: 2022-03-18
SHAANXI NORMAL UNIV
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Problems solved by technology

[0005] At present, the existing technology for video super-resolution restoration has the problems of excessive memory resource consumption and high calculation delay

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  • Video super-resolution method and system for cloud fusion
  • Video super-resolution method and system for cloud fusion
  • Video super-resolution method and system for cloud fusion

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[0067] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0068] The present invention provides a video super-resolution method and system for cloud fusion, specifically as figure 1 As shown, it includes restoration effect prediction module, task dynamic scheduling module, mobile terminal processing module, cloud processing module and frame fusion module.

[0069] The restoration effect prediction module is based on the DNN model to realize the prediction, so that after inputting the video features, it can predict the PSNR and VMAF parameter indicators of each frame of the video in the two ways of...

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Abstract

The invention provides a cloud fusion-oriented video super-resolution method and system, and belongs to the field of video processing, and the system comprises a restoration effect prediction module, a task dynamic scheduling module, a mobile terminal processing module, a cloud processing module and a frame fusion module. The method comprises the following steps: collecting features of a current low-resolution video frame, inputting the features into a restoration effect prediction module, and predicting a super-resolution effect of the current video frame after the current video frame passes through a bicubic interpolation method and a video restoration model based on an enhanced variable convolutional network; whether the current low-resolution video frame is unloaded to the cloud processing module for super-resolution reduction is determined through the task dynamic scheduling module; and inputting the video frame after cloud super-division and the video frame after local processing into a frame fusion module to obtain a high-definition video after super-resolution reduction. According to the method, on the premise that cloud resources are utilized, super-resolution processing of low-resolution videos is achieved, and the method has the advantages of being real-time, rapid and accurate in reduction and low in memory resource occupation.

Description

technical field [0001] The invention belongs to the technical field of video processing, and in particular relates to a video super-resolution method and system for cloud fusion. Background technique [0002] Images and videos usually contain a large amount of visual information, and visual information itself has intuitive and efficient description capabilities. Therefore, with the rapid development of information technology, the application of images and videos has gradually spread across various fields of human society. In recent years, in the fields of computer image processing, computer vision and machine learning, many scholars and experts from industry and academia have continued to pay attention to the basic hot issue of super-resolution technology of video images. [0003] Video super-resolution refers to the use of signal processing methods to process the degraded images of low-resolution videos to obtain one or more high-resolution restored images. This technology ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06N3/08G06N3/045
Inventor 任杰贾晨鸽王煜华朱晓奥
Owner SHAANXI NORMAL UNIV
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