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In this paper, we propose to learn temporal embeddings of video frames for complex video analysis. Large quantities of unlabeled video data can be easily obtained from the Internet. These videos possess the implicit weak label that they are sequences of temporally and semantically coherent images. We leverage this information to learn temporal embeddings for video frames by associating frames with the temporal context that they appear in. To do this, we propose a scheme for incorporatingdoi:10.1109/iccv.2015.508 dblp:conf/iccv/RamanathanTML15 fatcat:q7xxusqqqjaxhdhxnfbwvgxmue