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Learning Hierarchical Modular Networks for Video Captioning

文献类型：期刊论文

作者Li, Guorong6; Ye, Hanhua6; Qi, Yuankai5; Wang, Shuhui4; Qing, Laiyun6; Huang, Qingming6; Yang, Ming-Hsuan1,2,3
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2024-02-01
卷号46期号:2页码:1049-1064
关键词Video captioning hierarchical modular network scene-graph reward reinforcement learning
ISSN号0162-8828
DOI10.1109/TPAMI.2023.3327677
英文摘要Video captioning aims to generate natural language descriptions for a given video clip. Existing methods mainly focus on end-to-end representation learning via word-by-word comparison between predicted captions and ground-truth texts. Although significant progress has been made, such supervised approaches neglect semantic alignment between visual and linguistic entities, which may negatively affect the generated captions. In this work, we propose a hierarchical modular network to bridge video representations and linguistic semantics at four granularities before generating captions: entity, verb, predicate, and sentence. Each level is implemented by one module to embed corresponding semantics into video representations. Additionally, we present a reinforcement learning module based on the scene graph of captions to better measure sentence similarity. Extensive experimental results show that the proposed method performs favorably against the state-of-the-art models on three widely-used benchmark datasets, including microsoft research video description corpus (MSVD), MSR-video to text (MSR-VTT), and video-and-TEXt (VATEX).
资助项目National Key R#x0026;D Program of China
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001140839000013
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/38405]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Qi, Yuankai; Qing, Laiyun; Huang, Qingming
作者单位1.Google, Mountain View, CA 94043 USA
2.Yonsei Univ, Seoul 03722, South Korea
3.Univ Calif Merced, Merced, CA 95343 USA
4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100045, Peoples R China
5.Univ Adelaide, Australian Inst Machine Learning, Adelaide, SA 5005, Australia
6.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Key Lab Big Data Min & Knowledge Management, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Li, Guorong,Ye, Hanhua,Qi, Yuankai,et al. Learning Hierarchical Modular Networks for Video Captioning[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2024,46(2):1049-1064.
APA Li, Guorong.,Ye, Hanhua.,Qi, Yuankai.,Wang, Shuhui.,Qing, Laiyun.,...&Yang, Ming-Hsuan.(2024).Learning Hierarchical Modular Networks for Video Captioning.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,46(2),1049-1064.
MLA Li, Guorong,et al."Learning Hierarchical Modular Networks for Video Captioning".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 46.2(2024):1049-1064.

入库方式： OAI收割

来源：计算技术研究所

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