GPT2MVS: Generative Pre-trained Transformer-2 for Multi-modal Video Summarization

Author:

Huang Jia-Hong1,Murn Luka2,Mrak Marta3,Worring Marcel1

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

2. BBC Research and Development & Dublin City University, London, United Kingdom

3. BBC Research and Development, London, United Kingdom

Funder

European Union?s Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie grant No. 765140

Publisher

ACM

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Query-attentive video summarization: a comprehensive review;Multimedia Tools and Applications;2024-08-06

2. Multi-modal Video Summarization;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

3. Multimodal Video Summarization using Attention based Transformers (MVSAT);2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. Staying ahead with generative artificial intelligence for learning: navigating challenges and opportunities with 5Ts and 3Rs;Asia Pacific Journal of Education;2024-01-02

5. Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation;Lecture Notes in Computer Science;2024

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