典型文献
Proposals from binary tree and spatio-temporal tunnel for temporal segmentation of rough videos
文献摘要：
Existing temporal segmentation methods suffer from the problems of high computational complexity and complicated steps.To address this issue,we present a method that combines the binary tree and spatio-temporal tunnel(STT)for temporal segmentation of rough videos.First,we compute initial cumulative spatio-temporal flow to determine flow overflow of sub-video which is divided from a rough video.Second,the decision tree is generated by combining bi-nary tree and balance factor to dynamically adjust the sampling line of the STT.Finally,pixels on the sampling line are extracted to generate an adaptive STT for temporal proposals.Experimental results show that the computational complexity of the proposed method is significantly better than that of the comparison methods while ensuring accu-racy.
文献关键词：
中图分类号：
作者姓名：
ZHANG Yunzuo;GUO Kaina
作者机构：
School of Information Science and Technology,Shijiazhuang Tiedao University,Shijiazhuang 050043,China
文献出处：
引用格式：
[1]ZHANG Yunzuo;GUO Kaina-.Proposals from binary tree and spatio-temporal tunnel for temporal segmentation of rough videos)[J].光电子快报（英文版）,2022(12):763-768
A类：
B类：
Proposals,from,binary,tree,spatio,temporal,tunnel,segmentation,rough,videos,Existing,methods,suffer,problems,high,computational,complexity,complicated,steps,To,address,this,issue,we,present,that,combines,STT,First,compute,initial,cumulative,determine,overflow,sub,which,divided,Second,decision,generated,by,combining,balance,dynamically,adjust,sampling,line,Finally,pixels,are,extracted,adaptive,proposals,Experimental,results,show,proposed,significantly,better,than,comparison,while,ensuring,accu,racy
AB值：
0.548719
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