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Intra-Video Temporal-Aware RAG: A Self-Contained Framework for Video-Based Question Answering

Sumaira Shafiq Naveed Ejaz Munam Ali Shah Rashid Kamal Adnan Sohail Sheraz Aslam

Computers, Materials & Continua2026，Vol.88Issue(8)：P.2276-2301,26.

Computers, Materials & Continua2026，Vol.88Issue(8)：P.2276-2301,26.DOI:10.32604/cmc.2026.081534

Intra-Video Temporal-Aware RAG: A Self-Contained Framework for Video-Based Question Answering

Sumaira Shafiq ¹Naveed Ejaz ²Munam Ali Shah ³Rashid Kamal ²Adnan Sohail ¹Sheraz Aslam⁴

作者信息

1. Department of Computing and Technology,Islamabad Campus,Iqra University,Islamabad,Pakistan
2. School of Computing,Ulster University,Belfast,UK
3. Department of Computer Networks and Communication,College of Computer Science and Information Technology,King Faisal University,Al-Ahsa,Saudi Arabia
4. Department of Computer Science,CTL Eurocollege,Limassol,Cyprus Department of Computer Science,American University of Cyprus,Larnaca,Cyprus International Digital Economy College,Minjiang University,Fuzhou,China
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摘要

关键词

Video question answering/retrieval-augmented generation/temporal grounding/multimodal retrieval/educational videos/whisper ASR/visual captioning/large language models/explainable AI/timestamped evidence

分类

信息技术与安全科学

引用本文复制引用

Sumaira Shafiq,Naveed Ejaz,Munam Ali Shah,Rashid Kamal,Adnan Sohail,Sheraz Aslam..Intra-Video Temporal-Aware RAG: A Self-Contained Framework for Video-Based Question Answering[J].Computers, Materials & Continua,2026,88(8):P.2276-2301,26.

基金项目

supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia,under Grant KFU262069. （）

Computers, Materials & Continua

ISSN：1546-2218

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