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October 8, 2025Open Access

Toward Scalable Video Narration: A Training-free Approach Using Multimodal Large Language Models

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Authors

TWTz-Ying WuTTTahani TriguiSSSharath Nittur Sridhar

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Overview

VideoNarrator generates accurate video captions in real-time, improving video understanding and addressing hallucinations.

Key Points

  • VideoNarrator enhances video captioning accuracy and reduces hallucinations, improving temporal alignment.
  • Experimental results show that using off-the-shelf multimodal large language models significantly boosts narration quality.
  • The flexible pipeline allows for various roles of multimodal components, enhancing video content analysis.
  • This approach potentially transforms video summarization and question answering, with applications in advertising.

Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/68e6494525bc5bdb98713b4ahttps://doi.org/10.48550/arxiv.2507.17050
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