METHOD FOR EVALUATING VIDEO QUALITY BASED ON NON-REFERENCE VIDEO

    公开(公告)号:US20230316483A1

    公开(公告)日:2023-10-05

    申请号:US18128145

    申请日:2023-03-29

    IPC分类号: G06T7/00

    摘要: A method for evaluating video quality based on a non-reference video to evaluate the quality of a received video using artificial intelligence composed of convolutional neural networks (CNN) and recurrent neural networks (RNN) capable of setting a learning range, includes: (a) extracting RGB values for one frame of a video; (b) obtaining an output by providing the extracted RGB values to CNN No. 1; (c) obtaining an output by providing the extracted RGB values n times to a CNN; (d) repeating (a) to (c) for all frames and merging outputs of all CNNs; (e) obtaining the output of the RNN with the time dimension reduced to 1 after passing the merged output value to the RNN; and (f) after applying a regression algorithm to the final output of the RNN, predicting this value as video quality value.