The invention discloses an intelligent selection method of video thumbnails, comprising the following steps: 1) acquiring N numbered thumbnails of a video, wherein N is more than or equal to 2 and less than or equal to 100, and N is a constant; 2) calculating the characteristics of each thumbnail, such as frontal face position and size, profile face position and size, whole body position and size, upper body position and size, lower body position and size, gray level histogram distribution value, gray level histogram variance distribution value, colorful RGB histogram variance distribution value, difference value that a colorful RGB image is changed into a gray level image, the variance value of a gray level image pixel point, the variance value of the colorful RGB image pixel point, the dispersion distance value between the colorful RGB blocks, and the like; 3) calculating the characteristic values of each thumbnail respectively through ambiguity functions; 4) weighting and calculating the characteristic values of each thumbnail to obtain a final fraction; 5) sequencing the N numbered thumbnails according to the fraction of each thumbnail; and 6) selecting the thumbnail with the highest fraction as the thumbnail representing the video.