A Hierarchical Deep Video Understanding Method with Shot-Based Instance Search and Large Language Model-Reference-Cited by-同舟云学术

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A Hierarchical Deep Video Understanding Method with Shot-Based Instance Search and Large Language Model

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Li Ruizhe¹^ORCID,Guo Jiahao¹^ORCID,Li Mingxi¹^ORCID,Wu Zhengqian¹^ORCID,Liang Chao²^ORCID

Affiliation:

1. Wuhan University, Wuhan, China

2. School of Computer Science, Wuhan University, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Ministry of Education Industry University Cooperative Education Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612838

Reference17 articles.

1. George Awad , Keith Curtis , Asad A. Butt , Jonathan Fiscus , Afzal Godil , Yooyoung Lee , Andrew Delgado , Jesse Zhang , Eliot Godard , Baptiste Chocot , Lukas Diduch , Jeffrey Liu , Yvette Graham , , and Georges Quénot . 2022 . An overview on the evaluated video retrieval tasks at TRECVID 2022 . In Proceedings of TRECVID 2022. NIST, USA. George Awad, Keith Curtis, Asad A. Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, , and Georges Quénot. 2022. An overview on the evaluated video retrieval tasks at TRECVID 2022. In Proceedings of TRECVID 2022. NIST, USA.

2. SCRFD

3. HLVU: A New Challenge to Test Deep Understanding of Movies the Way Humans do

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