Complex event recognition using constrained low-rank representation

作者：

Highlights：

• A novel low-rank model for complex event representation

• Semantic cues are induced in our model by constraining it to follow human annotation.

• We demonstrate extensive experiments on TRECVID MED 11 and MED 12.

• We compare our method to seven recent methods and achieve state of the art.

摘要

•A novel low-rank model for complex event representation•Semantic cues are induced in our model by constraining it to follow human annotation.•We demonstrate extensive experiments on TRECVID MED 11 and MED 12.•We compare our method to seven recent methods and achieve state of the art.

论文关键词：Complex event recognition,Low-rank optimization,Activity recognition,Action concepts

论文评审过程：Received 30 September 2013, Revised 12 January 2015, Accepted 12 June 2015, Available online 26 June 2015, Version of Record 25 August 2015.

论文官网地址：https://doi.org/10.1016/j.imavis.2015.06.007