Takahiro Itazuri, Tsukasa Fukusato, Shugo Yamaguchi, Shigeo Morishima

Court-based Volleyball Video Summarization Focusing on Rally Scene

DOI: 10.1109/CVPRW.2017.28

Computer Vision and Pattern Recognition Workshop

http://ieeexplore.ieee.org/document/8014762/

조선일보 명조. Our system generates a summary video that consists of only more important rally scenes evaluated by rally-rank. To reflects viewers' preference more, features indicating the contents of the game should be necessary; however such features have not been considered in most of previous methods Download Gear Fit Manager. Although several visual features such as the position of a ball and players should be used, acquisition of such features in still not robust and unreliable in low-resolution or low frame rate volleyball videos Modview. Instead, we use the court transition information caused by camera operation. Experimental results demonstrate the effectiveness that our method reflects viewers' preferences over previous methods by evaluating the adjusted R-squared values between mean subjective values and evaluated rally-rank values."}" data-sheets-userformat="{"2":513,"3":[null,0],"12":0}">In this paper, we propose a rally-rank evaluation based on the court transition information for automatic volleyball video summarization considering the contents of the game 국어 모의고사 다운로드. Our system generates a summary video that consists of only more important rally scenes evaluated by rally-rank. To reflects viewers’ preference more, features indicating the contents of the game should be necessary; however such features have not been considered in most of previous methods Download Eclipse java ee. Although several visual features such as the position of a ball and players should be used, acquisition of such features in still not robust and unreliable in low-resolution or low frame rate volleyball videos Download Totono. Instead, we use the court transition information caused by camera operation. Experimental results demonstrate the effectiveness that our method reflects viewers’ preferences over previous methods by evaluating the adjusted R-squared values between mean subjective values and evaluated rally-rank values 조조전.