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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Structured Two-Stream Attention Network for Video Question Answering

February 1, 2023

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Authors

Lianli Gao

University of Electronic Science and Technology of China


Pengpeng Zeng

University of Electronic Science and Technology of China


Jingkuan Song

University of Electronic Science and Technology of China


Yuan-Fang Li

Monash University


Wu Liu

AI Research of JD.com


Tao Mei

AI Research of JD.com


Heng Tao Shen

University of Electronic Science and Technology of China


DOI:

10.1609/aaai.v33i01.33016391


Abstract:

To date, visual question answering (VQA) (i.e., image QA and video QA) is still a holy grail in vision and language understanding, especially for video QA. Compared with image QA that focuses primarily on understanding the associations between image region-level details and corresponding questions, video QA requires a model to jointly reason across both spatial and long-range temporal structures of a video as well as text to provide an accurate answer. In this paper, we specifically tackle the problem of video QA by proposing a Structured Two-stream Attention network, namely STA, to answer a free-form or open-ended natural language question about the content of a given video. First, we infer rich longrange temporal structures in videos using our structured segment component and encode text features. Then, our structured two-stream attention component simultaneously localizes important visual instance, reduces the influence of background video and focuses on the relevant text. Finally, the structured two-stream fusion component incorporates different segments of query and video aware context representation and infers the answers. Experiments on the large-scale video QA dataset TGIF-QA show that our proposed method significantly surpasses the best counterpart (i.e., with one representation for the video input) by 13.0%, 13.5%, 11.0% and 0.3 for Action, Trans., TrameQA and Count tasks. It also outperforms the best competitor (i.e., with two representations) on the Action, Trans., TrameQA tasks by 4.1%, 4.7%, and 5.1%.

Topics: AAAI

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HOW TO CITE:

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen Structured Two-Stream Attention Network for Video Question Answering Proceedings of the AAAI Conference on Artificial Intelligence (2019) 6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen Structured Two-Stream Attention Network for Video Question Answering AAAI 2019, 6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen (2019). Structured Two-Stream Attention Network for Video Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence, 6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. Structured Two-Stream Attention Network for Video Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. 2019. Structured Two-Stream Attention Network for Video Question Answering. "Proceedings of the AAAI Conference on Artificial Intelligence". 6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. (2019) "Structured Two-Stream Attention Network for Video Question Answering", Proceedings of the AAAI Conference on Artificial Intelligence, p.6391-6398

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen, "Structured Two-Stream Attention Network for Video Question Answering", AAAI, p.6391-6398, 2019.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. "Structured Two-Stream Attention Network for Video Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. "Structured Two-Stream Attention Network for Video Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 6391-6398.

Lianli Gao||Pengpeng Zeng||Jingkuan Song||Yuan-Fang Li||Wu Liu||Tao Mei||Heng Tao Shen. Structured Two-Stream Attention Network for Video Question Answering. AAAI[Internet]. 2019[cited 2023]; 6391-6398.


ISSN: 2374-3468


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