Video Content 3D Visualization Browsing System Based On Image Processing And Genetic Algorithm

At present,visualization technology has been applied to a variety of studies,but,not a lot in video content.This paper addresses the topic of video content visualization.In the era of big data,a lot of video data,there is a lot in entertainment.If there is a breakthrough in this respect,it perhaps can bring some inspiration to the video industry.This article make full use of the shot segmentation technology and key frame extraction technology,in order to make preparation for video content visualization.In the process of shot segmentation,a series of experiments are done on the selection of the threshold range.The results are compared with the real data and are confirmed that the threshold result is a better choice..In the process of key frame extraction,Uniform sampling method,Sufficient content change and Equal temporal variance are also compared to select the extraction method that is most suitable for the video viewing requirement.The choice is,Equal temporal variance.In the implementation,this article uses genetic algorithm to calculate the related data,and develops visual display window,playback controls window,key frame window,at the same time.In order to provide users with the better auxiliary function of exploring video,this paper improves the fast forward and rewind functions,the speed visualization function,and the skip frame function with key frames.In the process of system test evaluation,the results show that,the system can complete the expected missions,and bring more information and pleasure to users.