The invention provides a non-reference cloud
game video quality evaluation method and equipment based on local and
global information fusion, and the method comprises the following steps: 1, obtaining a cloud
game video needing to be evaluated, extracting K frames of images from the whole video frame at equal intervals as key frames, step 2, respectively sending the extracted
key frame into a depth
feature extraction branch and a traditional
feature extraction branch, for the depth
feature extraction branch,
cutting an area with a specified size from the
key frame,
processing the area to obtain global texture features, and for the traditional feature extraction branch, obtaining global texture features; and step 2, obtaining local depth features from a
specific time-space domain local region of the
key frame through a residual convolutional network, and step 3, splicing the features obtained by the two branches and sending the spliced features to a multi-layer
perceptron quality regression device to obtain a final
video quality score. According to the scheme, global and local information can be jointly utilized, the quality problems of blocking effect, fuzziness, texture
distortion and the like are effectively reflected, and high-precision and light-weight cloud
game video quality evaluation is achieved.