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Paper proposing multimodal video retrieval system withdrawn by author

By PulseAugur Editorial · [1 sources] ·

A research paper proposes a new video retrieval system that addresses limitations in current methods. The system aims to improve accuracy by encoding entire video clips rather than just individual frames. It achieves this by extracting multimodal data and incorporating information from multiple frames to enable the model to infer higher-level insights and latent meanings. AI

IMPACT Enhances video retrieval systems by enabling deeper understanding beyond object detection.

RANK_REASON This is a research paper published on arXiv.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Paper proposing multimodal video retrieval system withdrawn by author

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Quoc-Bao Nguyen-Le, Thanh-Huy Le-Nguyen ·

    Multimodal Contextualized Support for Enhancing Video Retrieval System

    arXiv:2412.07584v2 Announce Type: replace Abstract: Current video retrieval systems, especially those used in competitions, primarily focus on querying individual keyframes or images rather than encoding an entire clip or video segment. However, queries often describe an action o…

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