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Status: Unchecked ×Keyword: video subtitles ×Clear all

1 claim from 1 paper

1. Computer Science › Multimodal Machine Learning Applications

   Towards Visual-Prompt Temporal Answer Grounding in Instructional Video

   A, Bin Li, Bin Sun and Weng · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024

   The paper proposes VPTSL, which finds the video segment answering a text question by predicting a span of timestamped subtitles with a language model prompted by visual highlight features.

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   1. UncheckedOn the MedVidQA medical instructional video dataset, the VPTSL method scored 28.36% higher mIOU than the previous state-of-the-art method.“Extensive experiments on the medical instructional dataset, namely MedVidQA, show that the proposed VPTSL outperforms the state-of-the-art (SOTA) method by 28.36% in terms of mIOU with a large margin, which demonstrates the effectiveness of the proposed visual prompt and the text span predictor.”