Deep Learning for Video Retrieval by Natural Language-Reference-Cited by-同舟云学术

Deep Learning for Video Retrieval by Natural Language

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia - FAT/MM '19
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Author:

Li Xirong¹

Affiliation:

1. Renmin University of China, Beijing, China

Funder

Fundamental Research Funds for the Central Universities and the Research Funds of Renmin University of China

National Natural Science Foundation of China

Publisher

ACM Press

Reference9 articles.

1. George Awad, Duy-Dinh Le, Chong-Wah Ngo, Vinh-Tiep Nguyen, Georges Quénot, Cees Snoek, and Shin'ichi Satoh. 2017. Video Indexing, Search, Detection, and Description with Focus on TRECVID. In Proceedings of the ACM International Conference on Multimedia Retrieval. 3--4.

2. Jianfeng Dong, Xirong Li, and Cees Snoek. 2018. Predicting Visual Features from Text for Image and Video Caption Retrieval. IEEE Transactions on Multimedia, Vol. 20, 12 (2018), 3377--3388.

3. Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang, and Xun Wang. 2019. Dual Encoding for Zero-Example Video Retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 9346--9355.

4. Weiyu Lan, Xirong Li, and Jianfeng Dong. 2017. Fluency-Guided Cross-Lingual Image Captioning. In Proceedings of the 25th ACM International Conference on Multimedia. 1549--1557.

5. Xirong Li, Chaoxi Xu, Xiaoxu Wang, Weiyu Lan, Zhengxiong Jia, Gang Yang, and Jieping Xu. 2019. COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval. IEEE Transactions on Multimedia, Vol. 21, 9 (2019), 2347--2360.

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