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English:Human Action Retrieval Based on Temporal Matching 
Japanese: Lin Mengxi, 井上 中順, 篠田 浩一.  
English: Mengxi Lin, Nakamasa Inoue, Koichi Shinoda.  
Language English 
Journal/Book name
Japanese:電子情報通信学会技術研究報告 PRMU 
English:Technical Reports of IEICE PRMU 
Volume, Number, Page vol. 114    no. 454    pp. 125-130
Published date Feb. 20, 2015 
English:IEICE Technical Committee 
Conference name
English:Technical Reports of IEICE PRMU 
Conference site
English:Sendai-shi, Miyagi Pref. 
Official URL http://www.ieice.org/ken/paper/201502205Bw1/
Abstract This paper focuses on human action retrieval, which aims to retrieve video segments form a video database based on an action of interest specified on-the-fly by a user. In this work, we focus on capturing temporal information of actions and propose to utilize Dynamic Time Warping (DTW) to measure the temporal distortion and difference between a pair of actions. Temporal motion saliency of a query video is introduced to re-rank the retrieval results. We evaluate our method in the Breakfast dataset and show that our method is more effective than the baselines, which do not consider any temporal orders of actions.

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