2025 · 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
AI Video Retrieval: A Semantic Search & Timestamp Alignment System
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multimodal-ai machine-learning benchmark-datasets
video retrieval semantic search timestamp alignment AI video search ACDSA 2025
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Citation
@inproceedings{ezzatiJivan2025aivideo,
author = {Hridoy Rahman and Naser Ezzati-Jivan and Blessing Ogbuokiri},
title = {AI Video Retrieval: A Semantic Search {\&} Timestamp Alignment System},
year = {2025},
booktitle = {2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)},
pages = {1-6},
publisher = {IEEE},
doi = {10.1109/ACDSA65407.2025.11166430},
url = {https://doi.org/10.1109/ACDSA65407.2025.11166430}
}Other citation formats for Word and reference managers
Rahman, H., Ezzati-Jivan, N., & Ogbuokiri, B. (2025). AI Video Retrieval: A Semantic Search & Timestamp Alignment System. In 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (pp. 1-6). https://doi.org/10.1109/ACDSA65407.2025.11166430H. Rahman, N. Ezzati-Jivan, and B. Ogbuokiri, "AI Video Retrieval: A Semantic Search & Timestamp Alignment System," in 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), pp. 1-6, 2025, doi: 10.1109/ACDSA65407.2025.11166430