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

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

February 1, 2023

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Authors

Chuming Lin

Tencent


Jian Li

Tencent


Yabiao Wang

Tencent


Ying Tai

Tencent


Donghao Luo

Tencent


Zhipeng Cui

Tencent


Chengjie Wang

Tencent


Jilin Li

Tencent


Feiyue Huang

Tencent


Rongrong Ji

Xiamen University


DOI:

10.1609/aaai.v34i07.6815


Abstract:

Generating temporal action proposals remains a very challenging problem, where the main issue lies in predicting precise temporal proposal boundaries and reliable action confidence in long and untrimmed real-world videos. In this paper, we propose an efficient and unified framework to generate temporal action proposals named Dense Boundary Generator (DBG), which draws inspiration from boundary-sensitive methods and implements boundary classification and action completeness regression for densely distributed proposals. In particular, the DBG consists of two modules: Temporal boundary classification (TBC) and Action-aware completeness regression (ACR). The TBC aims to provide two temporal boundary confidence maps by low-level two-stream features, while the ACR is designed to generate an action completeness score map by high-level action-aware features. Moreover, we introduce a dual stream BaseNet (DSB) to encode RGB and optical flow information, which helps to capture discriminative boundary and actionness features. Extensive experiments on popular benchmarks ActivityNet-1.3 and THUMOS14 demonstrate the superiority of DBG over the state-of-the-art proposal generator (e.g., MGG and BMN).

Topics: AAAI

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HOW TO CITE:

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji Fast Learning of Temporal Action Proposal via Dense Boundary Generator Proceedings of the AAAI Conference on Artificial Intelligence (2020) 11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji Fast Learning of Temporal Action Proposal via Dense Boundary Generator AAAI 2020, 11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji (2020). Fast Learning of Temporal Action Proposal via Dense Boundary Generator. Proceedings of the AAAI Conference on Artificial Intelligence, 11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. Fast Learning of Temporal Action Proposal via Dense Boundary Generator. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. 2020. Fast Learning of Temporal Action Proposal via Dense Boundary Generator. "Proceedings of the AAAI Conference on Artificial Intelligence". 11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. (2020) "Fast Learning of Temporal Action Proposal via Dense Boundary Generator", Proceedings of the AAAI Conference on Artificial Intelligence, p.11499-11506

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji, "Fast Learning of Temporal Action Proposal via Dense Boundary Generator", AAAI, p.11499-11506, 2020.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. "Fast Learning of Temporal Action Proposal via Dense Boundary Generator". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. "Fast Learning of Temporal Action Proposal via Dense Boundary Generator". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 11499-11506.

Chuming Lin||Jian Li||Yabiao Wang||Ying Tai||Donghao Luo||Zhipeng Cui||Chengjie Wang||Jilin Li||Feiyue Huang||Rongrong Ji. Fast Learning of Temporal Action Proposal via Dense Boundary Generator. AAAI[Internet]. 2020[cited 2023]; 11499-11506.


ISSN: 2374-3468


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