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

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

February 1, 2023

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Authors

Jingwen Chen

Sun Yat-sen University


Yingwei Pan

JD AI Research


Yehao Li

Sun Yat-sen University


Ting Yao

JD AI Research


Hongyang Chao

Sun Yat-sen University


Tao Mei

JD AI Research


DOI:

10.1609/aaai.v33i01.33018167


Abstract:

It is well believed that video captioning is a fundamental but challenging task in both computer vision and artificial intelligence fields. The prevalent approach is to map an input video to a variable-length output sentence in a sequence to sequence manner via Recurrent Neural Network (RNN). Nevertheless, the training of RNN still suffers to some degree from vanishing/exploding gradient problem, making the optimization difficult. Moreover, the inherently recurrent dependency in RNN prevents parallelization within a sequence during training and therefore limits the computations. In this paper, we present a novel design — Temporal Deformable Convolutional Encoder-Decoder Networks (dubbed as TDConvED) that fully employ convolutions in both encoder and decoder networks for video captioning. Technically, we exploit convolutional block structures that compute intermediate states of a fixed number of inputs and stack several blocks to capture long-term relationships. The structure in encoder is further equipped with temporal deformable convolution to enable free-form deformation of temporal sampling. Our model also capitalizes on temporal attention mechanism for sentence generation. Extensive experiments are conducted on both MSVD and MSR-VTT video captioning datasets, and superior results are reported when comparing to conventional RNN-based encoder-decoder techniques. More remarkably, TDConvED increases CIDEr-D performance from 58.8% to 67.2% on MSVD.

Topics: AAAI

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HOW TO CITE:

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning Proceedings of the AAAI Conference on Artificial Intelligence (2019) 8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning AAAI 2019, 8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei (2019). Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. Proceedings of the AAAI Conference on Artificial Intelligence, 8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. 2019. Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. "Proceedings of the AAAI Conference on Artificial Intelligence". 8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. (2019) "Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning", Proceedings of the AAAI Conference on Artificial Intelligence, p.8167-8174

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei, "Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning", AAAI, p.8167-8174, 2019.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. "Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. "Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 8167-8174.

Jingwen Chen||Yingwei Pan||Yehao Li||Ting Yao||Hongyang Chao||Tao Mei. Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning. AAAI[Internet]. 2019[cited 2023]; 8167-8174.


ISSN: 2374-3468


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