The application discloses a short video evaluation and creation assistance method and
system based on visual understanding, the method comprising: acquiring short video data, extracting key frames from the video; detecting the key frames to obtain the proportion information of the face region position in the picture; identifying the expression category of the detected face region, and counting the number of expression category changes in adjacent
time windows; estimating the global motion amount of the picture based on the
optical flow information between adjacent frames, calculating the lens shake degree and forming the picture
stability index; obtaining the video frame change rate by calculating the pixel difference and color
histogram difference between adjacent frames; and fusing the above indexes to output a comprehensive
score of the video hit potential. The application analyzes visual features such as the state of the character in the video picture, the expression change, the picture stability and the
rhythm change, constructs an interpretable hit
potential evaluation model, and provides objective, real-time and
executable intelligent assistance decision for short video and live
content creation.