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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos

February 1, 2023

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Authors

Xiao-Yu Zhang

Institute of Information Engineering, Chinese Academy of Sciences


Haichao Shi

Institute of Information Engineering, Chinese Academy of Sciences


Changsheng Li

School of Computer Science and Technology, Beijing Institute of Technology


Peng Li

China University of Petroleum (East China)


DOI:

10.1609/aaai.v34i07.6986


Abstract:

Weakly supervised action recognition and localization for untrimmed videos is a challenging problem with extensive applications. The overwhelming irrelevant background contents in untrimmed videos severely hamper effective identification of actions of interest. In this paper, we propose a novel multi-instance multi-label modeling network based on spatio-temporal pre-trimming to recognize actions and locate corresponding frames in untrimmed videos. Motivated by the fact that person is the key factor in a human action, we spatially and temporally segment each untrimmed video into person-centric clips with pose estimation and tracking techniques. Given the bag-of-instances structure associated with video-level labels, action recognition is naturally formulated as a multi-instance multi-label learning problem. The network is optimized iteratively with selective coarse-to-fine pre-trimming based on instance-label activation. After convergence, temporal localization is further achieved with local-global temporal class activation map. Extensive experiments are conducted on two benchmark datasets, i.e. THUMOS14 and ActivityNet1.3, and experimental results clearly corroborate the efficacy of our method when compared with the state-of-the-arts.

Topics: AAAI

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HOW TO CITE:

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos Proceedings of the AAAI Conference on Artificial Intelligence (2020) 12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos AAAI 2020, 12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li (2020). Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. Proceedings of the AAAI Conference on Artificial Intelligence, 12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. 2020. Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. "Proceedings of the AAAI Conference on Artificial Intelligence". 12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. (2020) "Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos", Proceedings of the AAAI Conference on Artificial Intelligence, p.12886-12893

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li, "Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos", AAAI, p.12886-12893, 2020.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. "Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. "Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 12886-12893.

Xiao-Yu Zhang||Haichao Shi||Changsheng Li||Peng Li. Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos. AAAI[Internet]. 2020[cited 2023]; 12886-12893.


ISSN: 2374-3468


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