ZHANG Yunzuo,GUO Kaina.Proposals from binary tree and spatio-temporal tunnel for temporal segmentation of rough videos[J].Optoelectronics Letters,2022,(12):763-768 Proposals from binary tree and spatio-temporal tunnel for temporal segmentation of rough videos Author Name Affiliation ZHANG Yunzuo  School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China  GUO Kaina  School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China  Abstract:       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 binary 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 accuracy. Hits: 289 Download times: 0 View Full Text    Download reader