Intelligent selection method of video thumbnails

Abstract

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.

Description

technical field [0001] The invention relates to a picture selection method, in particular to an intelligent video thumbnail selection method through computer image processing. Background technique [0002] In the daily application of video websites, an important technology is to extract a frame of image from a video file as a representative image of the video file, and we call this image a thumbnail of the video file. Our current practice is to extract eight thumbnails from video files and set the fourth one as the default thumbnail. The thumbnail image obtained by adopting the fixed position method for default is usually not the most representative thumbnail image among the eight thumbnail images. We have adopted some methods to solve this problem, such as (1) users can determine which picture is used as the default thumbnail through a custom method, and (2) give the website staff the right to choose which picture is used as the default thumbnail. Although the above metho...

AI Technical Summary

Problems solved by technology

Although the above method can solve this problem, it still cannot meet the requirements in practice. This is because (1) through data analysis, we know that users usually do not or rarely customize thumbnails (2) due to the videos uploaded to video sites every day The number of files is very large, and the workload of defining thumbnails by website staff is very heavy

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