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Action-aware Linguistic Skeleton Optimization Network for Non-autoregressive Video Captioning

Authors:

Bin ShengAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications and Applications, Volume 20, Issue 10

Article No.: 326, Pages 1 - 24

https://doi.org/10.1145/3679203

Published: 30 October 2024 Publication History

Abstract

Non-autoregressive video captioning methods generate visual words in parallel but often overlook semantic correlations among them, especially regarding verbs, leading to lower caption quality. To address this, we integrate action information of highlighted objects to enhance semantic connections among visual words. Our proposed Action-aware Language Skeleton Optimization Network (ALSO-Net) tackles the challenge of extracting action information across frames, improving understanding of complex context-dependent video actions and reducing sentence inconsistencies. ALSO-Net incorporates a linguistic skeleton tag generator to refine semantic correlations and a video action predictor to enhance verb prediction accuracy in video captions. We also address issues of unsatisfactory caption length and quality by jointly optimizing different levels of motion prediction loss. Experimental evaluation on prominent video captioning datasets demonstrates that ALSO-Net outperforms baseline methods by a significant margin and achieves competitive performance compared to state-of-the-art autoregressive methods with smaller model complexity and faster inference time.

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Cited By

Zhong LLi LZhong XFan SWang ZShao RBai SZhu HNie LSatoh S(2024)An Empirical Study on Sentiment Intensity Analysis via Reading Comprehension ModelsProceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models10.1145/3689090.3689390(23-28)Online publication date: 28-Oct-2024
https://doi.org/10.1145/3689090.3689390
Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Chen NYang JCheng ZFan XLiu ZHuang BZhao YHuang LDu XGuizani M(2024)GainNet: Coordinates the Odd Couple of Generative AI and 6G NetworksIEEE Network: The Magazine of Global Internetworking10.1109/MNET.2024.341867138:5(56-65)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1109/MNET.2024.3418671

Index Terms

Action-aware Linguistic Skeleton Optimization Network for Non-autoregressive Video Captioning
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Video summarization
    2. Natural language processing
      1. Natural language generation
  2. Machine learning
    1. Machine learning approaches
      1. Neural networks

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cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 20, Issue 10

October 2024

729 pages

EISSN:1551-6865

DOI:10.1145/3613707

Editor:
Abdulmotaleb El Saddik
Mohamed Bin Zayed University of Artificial Intelligence, UAE and University of Ottawa, Canada

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Publication History

Published: 30 October 2024

Online AM: 20 July 2024

Accepted: 13 July 2024

Revised: 06 May 2024

Received: 20 August 2023

Published in TOMM Volume 20, Issue 10

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National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Hubei Institute of Education Science
Scientific Research Foundation of Hubei University of Education for Talent Introduction
Fundamental Research Funds for the Central Universities
Hubei Provincial Collaborative Innovation Center for Basic Education Information Technology Services

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Cited By

Zhong LLi LZhong XFan SWang ZShao RBai SZhu HNie LSatoh S(2024)An Empirical Study on Sentiment Intensity Analysis via Reading Comprehension ModelsProceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models10.1145/3689090.3689390(23-28)Online publication date: 28-Oct-2024
https://doi.org/10.1145/3689090.3689390
Wen HSong XChen XWei YNie LChua THui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image RetrievalProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657727(229-239)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657727
Chen NYang JCheng ZFan XLiu ZHuang BZhao YHuang LDu XGuizani M(2024)GainNet: Coordinates the Odd Couple of Generative AI and 6G NetworksIEEE Network: The Magazine of Global Internetworking10.1109/MNET.2024.341867138:5(56-65)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1109/MNET.2024.3418671

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